parse_semanticscholar.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5a2022f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import wget\n",
    "import time\n",
    "import pandas as pd\n",
    "import os\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "177500c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>publisher</th>\n",
       "      <th>address</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>editor</th>\n",
       "      <th>title</th>\n",
       "      <th>ENTRYTYPE</th>\n",
       "      <th>ID</th>\n",
       "      <th>pages</th>\n",
       "      <th>...</th>\n",
       "      <th>note</th>\n",
       "      <th>pdf</th>\n",
       "      <th>abstract</th>\n",
       "      <th>semantic_scholar</th>\n",
       "      <th>semantic_scholar_authorIds</th>\n",
       "      <th>semantic_scholar_keywords</th>\n",
       "      <th>cso_syntactic</th>\n",
       "      <th>cso_semantic</th>\n",
       "      <th>cso_union</th>\n",
       "      <th>cso_enhanced</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.1</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Learning to Understand Child-directed and Adul...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>gelderloos-etal-2020-learning</td>\n",
       "      <td>1--6</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.1.pdf</td>\n",
       "      <td>Speech directed to children differs from adult...</td>\n",
       "      <td>2020.acl-main.1.json</td>\n",
       "      <td>['7805500', '2756960', '103538973']</td>\n",
       "      <td>['1017215', '1588157']</td>\n",
       "      <td>['linguistics', 'acoustics', 'language acquisi...</td>\n",
       "      <td>['speech signals', 'synthetic speech', 'lingui...</td>\n",
       "      <td>['linguistics', 'automatic speech recognition'...</td>\n",
       "      <td>['speech recognition', 'signal processing', 'e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.2</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Predicting Depression in Screening Interviews ...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>rinaldi-etal-2020-predicting</td>\n",
       "      <td>7--18</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.2.pdf</td>\n",
       "      <td>Despite the pervasiveness of clinical depressi...</td>\n",
       "      <td>2020.acl-main.2.json</td>\n",
       "      <td>['19320780', '2457504', '37202877']</td>\n",
       "      <td>['8505']</td>\n",
       "      <td>['linguistics', 'pattern languages', 'psycholi...</td>\n",
       "      <td>['latent variable', 'latent factor', 'linguist...</td>\n",
       "      <td>['latent factor', 'linguistics', 'dialogue', '...</td>\n",
       "      <td>['matrix factorizations', 'argumentation', 'sp...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                url  \\\n",
       "0  https://www.aclweb.org/anthology/2020.acl-main.1   \n",
       "1  https://www.aclweb.org/anthology/2020.acl-main.2   \n",
       "\n",
       "                                   publisher address  year month editor  \\\n",
       "0  Association for Computational Linguistics  Online  2020  July          \n",
       "1  Association for Computational Linguistics  Online  2020  July          \n",
       "\n",
       "                                               title      ENTRYTYPE  \\\n",
       "0  Learning to Understand Child-directed and Adul...  inproceedings   \n",
       "1  Predicting Depression in Screening Interviews ...  inproceedings   \n",
       "\n",
       "                              ID  pages  ... note                  pdf  \\\n",
       "0  gelderloos-etal-2020-learning   1--6  ...       2020.acl-main.1.pdf   \n",
       "1   rinaldi-etal-2020-predicting  7--18  ...       2020.acl-main.2.pdf   \n",
       "\n",
       "                                            abstract      semantic_scholar  \\\n",
       "0  Speech directed to children differs from adult...  2020.acl-main.1.json   \n",
       "1  Despite the pervasiveness of clinical depressi...  2020.acl-main.2.json   \n",
       "\n",
       "            semantic_scholar_authorIds semantic_scholar_keywords  \\\n",
       "0  ['7805500', '2756960', '103538973']    ['1017215', '1588157']   \n",
       "1  ['19320780', '2457504', '37202877']                  ['8505']   \n",
       "\n",
       "                                       cso_syntactic  \\\n",
       "0  ['linguistics', 'acoustics', 'language acquisi...   \n",
       "1  ['linguistics', 'pattern languages', 'psycholi...   \n",
       "\n",
       "                                        cso_semantic  \\\n",
       "0  ['speech signals', 'synthetic speech', 'lingui...   \n",
       "1  ['latent variable', 'latent factor', 'linguist...   \n",
       "\n",
       "                                           cso_union  \\\n",
       "0  ['linguistics', 'automatic speech recognition'...   \n",
       "1  ['latent factor', 'linguistics', 'dialogue', '...   \n",
       "\n",
       "                                        cso_enhanced  \n",
       "0  ['speech recognition', 'signal processing', 'e...  \n",
       "1  ['matrix factorizations', 'argumentation', 'sp...  \n",
       "\n",
       "[2 rows x 28 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load current anthology \n",
    "df = pd.read_csv(\"data/anthology_conferences.csv\", sep=\"|\", keep_default_na=False)\n",
    "df[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "907460dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Entry with no doi\n",
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      "Entry with no doi\n",
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      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n",
      "Entry with no doi\n"
     ]
    }
   ],
   "source": [
    "# Download semantic scholar paper information by doi\n",
    "download = 0\n",
    "start = time.time()\n",
    "\n",
    "no_doi = 0\n",
    "not_found = 0\n",
    "\n",
    "for i, row in df.iterrows():\n",
    "    if row[\"doi\"] != \"\":\n",
    "        try:\n",
    "            if not os.path.exists(\"data/semantic_scholar/papers/\" + row[\"doi\"].split(\"/\")[-1] + \".json\"):\n",
    "                filename = wget.download(\"https://api.semanticscholar.org/v1/paper/\" + row[\"doi\"], out=\"data/semantic_scholar/papers/\" + row[\"doi\"].split(\"/\")[-1] + \".json\")\n",
    "                #print(filename)\n",
    "                download += 1\n",
    "        except:\n",
    "            print(\"Could not download doi:\", row[\"doi\"])\n",
    "            not_found += 1\n",
    "    else:\n",
    "        print(\"Entry with no doi\")\n",
    "        #print(row)\n",
    "        no_doi += 1\n",
    "    t = time.time()\n",
    "    if download >= 100 and t-start < 290:\n",
    "        print(\"Waiting with time \" + str(t-start) + \"...\")\n",
    "        while time.time() - start < 300:\n",
    "            continue\n",
    "        print(\"Continued with time \" + str(time.time()-start) + \".\")\n",
    "        download = 0\n",
    "        start = time.time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fd46f9f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of entries with scholar entries: 9149\n",
      "Number of papers with doi but without scholar entries: 47\n",
      "Number of papers with no doi and without scholar entries: 6542\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of entries with scholar entries:\", len(df[df[\"semantic_scholar\"] != \"\"]))\n",
    "print(\"Number of papers with doi but without scholar entries:\", not_found)\n",
    "print(\"Number of papers with no doi and without scholar entries:\", no_doi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1a8eec9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>publisher</th>\n",
       "      <th>address</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>editor</th>\n",
       "      <th>title</th>\n",
       "      <th>ENTRYTYPE</th>\n",
       "      <th>ID</th>\n",
       "      <th>pages</th>\n",
       "      <th>...</th>\n",
       "      <th>volume</th>\n",
       "      <th>journal</th>\n",
       "      <th>doi</th>\n",
       "      <th>isbn</th>\n",
       "      <th>language</th>\n",
       "      <th>number</th>\n",
       "      <th>note</th>\n",
       "      <th>pdf</th>\n",
       "      <th>abstract</th>\n",
       "      <th>semantic_scholar</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.1</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Learning to Understand Child-directed and Adul...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>gelderloos-etal-2020-learning</td>\n",
       "      <td>1--6</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>10.18653/v1/2020.acl-main.1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.1.pdf</td>\n",
       "      <td>Speech directed to children differs from adult...</td>\n",
       "      <td>2020.acl-main.1.json</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.2</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Predicting Depression in Screening Interviews ...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>rinaldi-etal-2020-predicting</td>\n",
       "      <td>7--18</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>10.18653/v1/2020.acl-main.2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.2.pdf</td>\n",
       "      <td>Despite the pervasiveness of clinical depressi...</td>\n",
       "      <td>2020.acl-main.2.json</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                url  \\\n",
       "0  https://www.aclweb.org/anthology/2020.acl-main.1   \n",
       "1  https://www.aclweb.org/anthology/2020.acl-main.2   \n",
       "\n",
       "                                   publisher address  year month editor  \\\n",
       "0  Association for Computational Linguistics  Online  2020  July          \n",
       "1  Association for Computational Linguistics  Online  2020  July          \n",
       "\n",
       "                                               title      ENTRYTYPE  \\\n",
       "0  Learning to Understand Child-directed and Adul...  inproceedings   \n",
       "1  Predicting Depression in Screening Interviews ...  inproceedings   \n",
       "\n",
       "                              ID  pages  ... volume journal  \\\n",
       "0  gelderloos-etal-2020-learning   1--6  ...                  \n",
       "1   rinaldi-etal-2020-predicting  7--18  ...                  \n",
       "\n",
       "                           doi isbn language number note                  pdf  \\\n",
       "0  10.18653/v1/2020.acl-main.1                            2020.acl-main.1.pdf   \n",
       "1  10.18653/v1/2020.acl-main.2                            2020.acl-main.2.pdf   \n",
       "\n",
       "                                            abstract      semantic_scholar  \n",
       "0  Speech directed to children differs from adult...  2020.acl-main.1.json  \n",
       "1  Despite the pervasiveness of clinical depressi...  2020.acl-main.2.json  \n",
       "\n",
       "[2 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add link to semantic scholar file for each entry\n",
    "df[\"semantic_scholar\"] = \"\"\n",
    "for i, row in df.iterrows():\n",
    "    if row[\"doi\"] != \"\":\n",
    "        id_ = row[\"doi\"].split(\"/\")[-1]\n",
    "        if os.path.exists(\"data/semantic_scholar/papers/\" + id_ + \".json\"):\n",
    "            df.at[i, \"semantic_scholar\"] = id_ + \".json\"\n",
    "df[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a39194ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store anthology dataframe in csv \n",
    "df.to_csv(\"data/anthology_conferences.csv\", sep=\"|\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "d7644b0b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Could not download title: A Syntactic Neural Model for General-Purpose Code Generation A Syntactic Neural Model for General-Purpose Code Generation Plan-Based Social Interaction with a Robot Bartender 2013 2017\n",
      "Could not download title: Interactive Topic Modeling Interactive Topic Modeling Interactive Topic Modeling 2013 2011\n",
      "Could not download title: Contextual Preferences Contextual Preferences Managing contextual preferences 2011 2008\n",
      "Could not download title: Pivot Language Approach for Phrase-Based Statistical Machine Translation Pivot Language Approach for Phrase-Based Statistical Machine Translation Leveraging Arabic-English Bilingual Corpora with Crowd Sourcing-Based Annotation for Arabic-Hebrew SMT 2013 2007\n",
      "Could not download title: Question Difficulty Estimation in Community Question Answering Services Question Difficulty Estimation in Community Question Answering Services An answer recommendation algorithm for medical community question answering systems 2016 2013\n",
      "Could not download title: Scaling to Large\\mbox$^3$ Data: An Efficient and Effective Method to Compute Distributional Thesauri Scaling to Large\\mbox$^3$ Data: An Efficient and Effective Method to Compute Distributional Thesauri An answer recommendation algorithm for medical community question answering systems 2016 2013\n",
      "Could not download title: Cooooooooooooooollllllllllllll%21%21%21%21%21%21%21%21%21%21%21%21%21%21 Using Word Lengthening to Detect Sentiment in Microblogs Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! Using Word Lengthening to Detect Sentiment in Microblogs An answer recommendation algorithm for medical community question answering systems 2016 2011\n",
      "Could not download title: Nested Named Entity Recognition Nested Named Entity Recognition A Boundary-aware Neural Model for Nested Named Entity Recognition 2019 2009\n",
      "Could not download title: Covington Variations Covington Variations An approach to value‐based simulator selection: The creation and evaluation of the simulator value index tool 2018 2007\n",
      "Could not download title: A Phrase-Based HMM Approach to Document/Abstract Alignment A Phrase-Based HMM Approach to Document/Abstract Alignment An approach to value‐based simulator selection: The creation and evaluation of the simulator value index tool 2018 2004\n",
      "Could not download title: A Distributional Analysis of a Lexicalized Statistical Parsing Model A Distributional Analysis of a Lexicalized Statistical Parsing Model Low-energy dipole strength in $^{112,120}$Sn 2014 2004\n",
      "Could not download title: Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo Adaptation of maximum entropy capitalizer: Little data can help a lot 2004 2004\n",
      "Could not download title: Improving Brill′s POS Tagger for an Agglutinative Language Improving Brill′s POS Tagger for an Agglutinative Language Adaptation of maximum entropy capitalizer: Little data can help a lot 2004 1999\n",
      "Could not download id and title: 6b37de06f3c74d6dc6436b6ca3d97aeefdef973a Attaching Multiple Prepositional Phrases: Backed-off Estimation Generalized\n",
      "Could not download title: Attaching Multiple Prepositional Phrases: Backed-off Estimation Generalized Attaching Multiple Prepositional Phrases: Backed-off Estimation Generalized Attaching Multiple Prepositional Phrases: Backed-off Estimation Generalized 1997 1997\n",
      "Could not download title: Neural Text Generation from Rich Semantic Representations Neural Text Generation from Rich Semantic Representations Syntax-aware Neural Semantic Role Labeling for Morphologically Rich Languages 2020 2019\n",
      "Could not download title: Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture Syntax-aware Neural Semantic Role Labeling for Morphologically Rich Languages 2020 2019\n",
      "Could not download title: Neural Text Generation in Stories Using Entity Representations as Context Neural Text Generation in Stories Using Entity Representations as Context Syntax-aware Neural Semantic Role Labeling for Morphologically Rich Languages 2020 2018\n",
      "Could not download title: Retrofitting Word Vectors to Semantic Lexicons Retrofitting Word Vectors to Semantic Lexicons Ontofitting: Specialization of Word Vectors for Semantic Representation 2018 2015\n",
      "Could not download title: A Just-In-Time Keyword Extraction from Meeting Transcripts A Just-In-Time Keyword Extraction from Meeting Transcripts Keyword Extraction from Conversation Text Document and Recommending Document using Fuzzy Logic Based Weight Matrix Method 2016 2013\n",
      "Could not download title: Understanding ``Each Other″ Understanding ``Each Other″ Understanding Each Other 2020 2000\n",
      "Could not search title and req: Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweets <urllib.request.Request object at 0x7f9567fc55e0>\n",
      "Could not search title and req: Enriching Dictionaries with Images from the Internet - Targeting Wikipedia and a Japanese Semantic Lexicon: Lexeed - <urllib.request.Request object at 0x7f9567fc55e0>\n",
      "Could not download title: Looking for Trouble Looking for Trouble Looking for Trouble 2019 2008\n",
      "Could not download title: Multi-Answer-Focused Multi-Document Summarization Using a Question-Answering Engine Multi-Answer-Focused Multi-Document Summarization Using a Question-Answering Engine A reinforcement learning formulation to the complex question answering problem 2015 2004\n",
      "Could not download title: Parsing Dependency Grammar using ALE Parsing Dependency Grammar using ALE DILUCT: An Open-Source Spanish Dependency Parser Based on Rules, Heuristics, and Selectional Preferences 2006 2002\n",
      "Could not download title: A Client/Server Architecture for Word Sense Disambiguation A Client/Server Architecture for Word Sense Disambiguation Anusaaraka: An expert system based machine translation system 2010 2000\n",
      "Could not download title: Confmnation in Multimodal Systems Confmnation in Multimodal Systems Intra and intersubject registration in multimodal brain imaging utility for source analysis 2001 1998\n",
      "Could not download title: Translating Idioms Translating Idioms Errors in translating idioms made by students of english department in 3rd year Sunan Ampel State Islamic University Surabaya 2017 1998\n",
      "Could not download title: How to thematically segment texts by using lexical cohesion%3F How to thematically segment texts by using lexical cohesion? How to Thematically Segemt Texts by Using Lexical Cohesion? 1998 1998\n",
      "Could not download title: Redundancy: helping semantic disambiguation Redundancy: helping semantic disambiguation Redundancy: Helping Semantic Disambiguation 1998 1998\n",
      "Could not download title: Thematic segmentation of texts: two methods for two kinds of texts Thematic segmentation of texts: two methods for two kinds of texts Does What Goes In Determine What Comes Out? Recalling Structured Text. 1992 1998\n",
      "Could not download title: Aspect and Aktionsart: Fighting or Cooperating%3F Aspect and Aktionsart: Fighting or Cooperating? Does What Goes In Determine What Comes Out? Recalling Structured Text. 1992 1996\n",
      "Could not download title: ``Is Speech Language%3F″ ``Is Speech Language?″ SELECTED POLISH POEMS 2016 1996\n",
      "Could not download title: DISTORTION OR IMPROVEMENT - Effects of information technology on the development of natural languages DISTORTION OR IMPROVEMENT - Effects of information technology on the development of natural languages Cell-based therapies in neonates: the emerging role of regulatory science 2019 1996\n",
      "Could not download title: Yes%21 NLP-based FL-ITS will be Important Yes! NLP-based FL-ITS will be Important Cell-based therapies in neonates: the emerging role of regulatory science 2019 1996\n",
      "Could not download title: The Internet a ``natural″ channel for language learning The Internet a ``natural″ channel for language learning The Internet a natural channel for language learning 1996 1996\n",
      "Could not download title: A tagger/lemmatiser for Dutch medical language A tagger/lemmatiser for Dutch medical language Language and Culture at Work 2017 1996\n",
      "Could not download title: Computational Semantics of Time/Negation Interaction Computational Semantics of Time/Negation Interaction Language and Culture at Work 2017 1996\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Could not download title: Lexical Rules: What are they%3F Lexical Rules: What are they? Language and Culture at Work 2017 1996\n",
      "Could not download title: Achieving Flexibility in Unification Formalisms Achieving Flexibility in Unification Formalisms Achieving Flexibility In Unification Formalisms 1994 1994\n",
      "Could not download title: A Reestimation Algorithm for Probabilistic ttecursive Transition Network A Reestimation Algorithm for Probabilistic ttecursive Transition Network Achieving Flexibility In Unification Formalisms 1994 1994\n",
      "Could not download title: Computing FIRST and FOLLOW Functions for Feature-Theoretic Grammars Computing FIRST and FOLLOW Functions for Feature-Theoretic Grammars Computing First And Follow Functions For Feature-Theoretic Grammars 1994 1994\n",
      "Could not download title: Focus on ``Only″ and ``Not″ Focus on ``Only″ and ``Not″ Influence of Sociodemographic, Premorbid, and Injury-Related Factors on Post-Concussion Symptoms after Traumatic Brain Injury 2020 1994\n",
      "Could not download title: Universal Guides and Finiteness and Symmetry of Grammar Processing Algorithms Universal Guides and Finiteness and Symmetry of Grammar Processing Algorithms Universal guides and finiteness and symmetry of grammar processing algorithms 1994 1994\n",
      "Could not download title: Anytime Algorithms for Speech Parsing%3F Anytime Algorithms for Speech Parsing? Universal guides and finiteness and symmetry of grammar processing algorithms 1994 1994\n",
      "Could not download title: Document Classification by Machine:Theory and Practice Document Classification by Machine:Theory and Practice Advances in Information Systems Development: : Bridging the Gap between Academia & Industry 2006 1994\n",
      "Could not download title: Pattern Matching in the TEXTRACT Information Extraction System Pattern Matching in the TEXTRACT Information Extraction System Pattern Matching In The Textract Information Extraction System 1994 1994\n",
      "Could not download title: Dilemma - An Instant Lexicographer Dilemma - An Instant Lexicographer DILEMMA - An Instant Lexicographer 1994 1994\n",
      "Could not download title: Modals as a Problem for MT Modals as a Problem for MT 996 A FEASIBILITY STUDY OF A MULTIMODAL MANAGEMENT APPROACH OF INPATIENTS WITH CHRONIC NON‐MALIGN PAIN IN SOMATIC HOSPITALS 2009 1994\n",
      "Could not download title: An English-to-Korean Machine Translator: MATES/EK An English-to-Korean Machine Translator: MATES/EK 996 A FEASIBILITY STUDY OF A MULTIMODAL MANAGEMENT APPROACH OF INPATIENTS WITH CHRONIC NON‐MALIGN PAIN IN SOMATIC HOSPITALS 2009 1994\n",
      "Could not download title: AUTOMATIC MODEL REFINEMENT - with an application to tagging AUTOMATIC MODEL REFINEMENT - with an application to tagging Automatic Model Refinement - with an application to tagging 1994 1994\n",
      "Could not download title: AN ARCHITECTURE FOR A UNIVERSAL LEXICON: A Case Study on Shared Syntactic Information in Japanese, Hindi, Bengali, Greek, and English AN ARCHITECTURE FOR A UNIVERSAL LEXICON: A Case Study on Shared Syntactic Information in Japanese, Hindi, Bengali, Greek, and English An Architecture For A Universal Lexicon: A Case Study on Shared Syntactic Information in Japanese, Hindi, Bengali, Greek, and English 1994 1994\n",
      "Could not download title: Annotating 200 Million Words: The Bank of English Project Annotating 200 Million Words: The Bank of English Project Annotating 200 Million Words: The Bank Of English Project 1994 1994\n",
      "Could not download title: CLAWS4: The Tagging of the British National Corpus CLAWS4: The Tagging of the British National Corpus Claws4: The Tagging Of The British National Corpus 1994 1994\n",
      "Could not download title: Ebl\\mbox$^2$: An Approach to Automatic Lexical Acquisition Ebl\\mbox$^2$: An Approach to Automatic Lexical Acquisition A preliminary study on semi-automatic construction of Vietnamese ontology 2011 1992\n",
      "Could not download title: Event Relations at the Phonetics/Phonology Interface Event Relations at the Phonetics/Phonology Interface The Euro-Mediterranean Partnership 2005 1992\n",
      "Could not download title: Presentation of the EUROLANG Project Presentation of the EUROLANG Project Inhaled intrapartum analgesia using a 50–50 % mixture of nitrous oxide–oxygen in a low-income hospital setting 2012 1992\n",
      "Could not download title: The Ips System The Ips System Security Assurance for System-on-Chip Designs With Untrusted IPs 2017 1992\n",
      "Could not download title: La Resoution D′anaphore a Partir D′un Lexique-Grammaire Des Verbes Anaphoriques La Resoution D′anaphore a Partir D′un Lexique-Grammaire Des Verbes Anaphoriques Security Assurance for System-on-Chip Designs With Untrusted IPs 2017 1992\n",
      "Could not download title: The First BUG Report The First BUG Report Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data 2019 1992\n",
      "Could not download title: Les Experiences D′indexation a L′INIST Les Experiences D′indexation a L′INIST Life Phenomenology of Life as the Starting Point of Philosophy 1997 1992\n",
      "Could not download title: How to Visualize Time, Tense and Aspect%3F How to Visualize Time, Tense and Aspect? Life Phenomenology of Life as the Starting Point of Philosophy 1997 1992\n",
      "Could not download title: Disjunctive Feature Structures as Hypergraphs Disjunctive Feature Structures as Hypergraphs Disjunctive Feature Structures As Hypergraphs 1992 1992\n",
      "Could not download title: Aspect - A Problem for MT Aspect - A Problem for MT Aspect - A Problem For MT 1992 1992\n",
      "Could not download title: Welcome to COLING-92%21 Welcome to COLING-92! Welcome - Fred-To-Go 2012 1992\n",
      "Could not download title: Synchronous TAGs and French Pronominal Clitics Synchronous TAGs and French Pronominal Clitics Synchronous Tags And French Pronominal Clitics 1992 1992\n",
      "Could not download title: The Proper Treatment of Word Order in Hpsg The Proper Treatment of Word Order in Hpsg THE PROPER TREATMENT OF WORD ORDER IN HPSG 1992 1992\n",
      "Could not download title: Semantic and Pragmatic Interpretation of Japanese Sentences With \\textitDake (\\textitOnly) Semantic and Pragmatic Interpretation of Japanese Sentences With \\textitDake (\\textitOnly) Semantic And Pragmatic Interpretation Of Japanese Sentences With Dake (Only) 1992 1992\n",
      "Could not download title: Is there content in empty heads%3F Is there content in empty heads? Semantic And Pragmatic Interpretation Of Japanese Sentences With Dake (Only) 1992 1990\n",
      "Could not download title: Design Issue of Ectst Design Issue of Ectst Innovative study design for paediatric clinical trials 2011 1990\n",
      "Could not download title: A PARLOG Implementation of Government-Binding Theory A PARLOG Implementation of Government-Binding Theory Book Reviews: Computer Interpretation of Natural Language Descriptions 1989 1990\n",
      "Could not download title: A Matrix Representation of the Inflectional Forms of Arabic Words: A Study of Co-Occurrence Patterns A Matrix Representation of the Inflectional Forms of Arabic Words: A Study of Co-Occurrence Patterns A Matrix Representation Of The Inflectional Forms Of Arabic Words: A Study Of Co-Occurrence Patterns 1990 1990\n",
      "Could not download title: A Text Generation System for Explaining Concepts in Geometry A Text Generation System for Explaining Concepts in Geometry A Text Generation System For Explaining Concepts In Geometry 1990 1990\n",
      "Could not download title: Simple Parser for an Hpsg-Style Grammar Implemented in Prolog Simple Parser for an Hpsg-Style Grammar Implemented in Prolog Simple Parser For An HPSG-Style Grammar Implemented In Prolog 1990 1990\n",
      "Could not download title: Towards Personal MT: general design, dialogue structure, potential role of speech Towards Personal MT: general design, dialogue structure, potential role of speech Towards Personal MT: general design, dialogue structure, potential role of speech 1990 1990\n",
      "Could not download title: Enjoy the Paper: Lexicology Enjoy the Paper: Lexicology Community Targeting for Poverty Reduction: Lessons from Developing Countries 2010 1990\n",
      "Could not download title: An Augmented Chart Data Structure with Efficient Word Lattice Parsing Scheme In Speech Recognition Applications An Augmented Chart Data Structure with Efficient Word Lattice Parsing Scheme In Speech Recognition Applications An augmented chart data structure with efficient word lattice parsing scheme in speech recognition applications 1990 1990\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Could not download title: Discourse Anaphora Discourse Anaphora On pragmatic demonstratives : The case of pragmatic discourse anaphora in Czech 1 2016 1990\n",
      "Could not download title: How to Invert a Natural Language Parser Into an Efficient Generator: An Algorithm for Logic Grammars How to Invert a Natural Language Parser Into an Efficient Generator: An Algorithm for Logic Grammars How To Invert A Natural Language Parser Into An Efficient Generator: An Algorithm For Logic Grammars 1990 1990\n",
      "Could not download title: Bilingual Generation of Weather Forecasts in an Operations Environment Bilingual Generation of Weather Forecasts in an Operations Environment Bilingual Generation of Weather Forecasts in an Operations Environment 1990 1990\n",
      "Could not download title: (Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information (Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information Bilingual Generation of Weather Forecasts in an Operations Environment 1990 2010\n",
      "Could not download title: Memory-Based Shallow Parsing Memory-Based Shallow Parsing Memory-Based Shallow Parsing 2002 1999\n"
     ]
    }
   ],
   "source": [
    "from urllib.request import Request, urlopen\n",
    "req = Request('https://www.semanticscholar.org/api/1/search')\n",
    "req.add_header('Content-Type', 'application/json; charset=utf-8')\n",
    "\n",
    "download = 0\n",
    "\n",
    "#start = time.time()\n",
    "\n",
    "# Download semantic scholar papers by search request\n",
    "for i, row in df.iterrows():\n",
    "    if row[\"semantic_scholar\"] == \"\":\n",
    "        title = row[\"title\"]\n",
    "        tt = title\n",
    "        title = title.replace(\"?\", \"%3F\")\n",
    "        title = title.replace(\"!\", \"%21\")\n",
    "        data = {\"queryString\":title,\"page\":1,\"pageSize\":10,\"sort\":\"relevance\",\"authors\":[],\"coAuthors\":[],\"venues\":[],\"yearFilter\":None,\"requireViewablePdf\":False,\"publicationTypes\":[],\"externalContentTypes\":[],\"fieldsOfStudy\":[],\"useFallbackRankerService\":False,\"useFallbackSearchCluster\":False,\"hydrateWithDdb\":True,\"includeTldrs\":True,\"performTitleMatch\":True,\"includeBadges\":True,\"tldrModelVersion\":None,\"getQuerySuggestions\":False}\n",
    "\n",
    "        jsondataasbytes = json.dumps(data).encode('utf-8')\n",
    "        req.add_header('Content-Length', len(jsondataasbytes))\n",
    "        \n",
    "        try:\n",
    "            response = urlopen(req, jsondataasbytes)\n",
    "            download += 1\n",
    "        except:\n",
    "            print(\"Could not search title and req:\", title, req)\n",
    "            download += 1\n",
    "            continue\n",
    "            \n",
    "        results = json.loads(response.read().decode('utf-8'))\n",
    "        \n",
    "        # Check if title is equal\n",
    "        for result in results[\"results\"]:\n",
    "            # Check if year is equal - should enough validation\n",
    "            if fuzz.ratio(result[\"title\"][\"text\"], tt) > 90:\n",
    "                check_author = any([x[\"lastName\"] in row[\"author\"] for x in result[\"structuredAuthors\"]])\n",
    "                if check_author: #result[\"year\"][\"text\"] != \"\" and int(result[\"year\"][\"text\"]) == row[\"year\"]:\n",
    "                    id_ = result[\"id\"]\n",
    "                    \n",
    "                    try:\n",
    "                        if not os.path.exists(\"data/semantic_scholar/papers/\" + id_ + \".json\"):\n",
    "                            filename = wget.download(\"https://api.semanticscholar.org/v1/paper/\" + id_, out=\"data/semantic_scholar/papers/\" + id_ + \".json\")\n",
    "                            #print(filename)\n",
    "                            df.at[i, \"semantic_scholar\"] = id_ + \".json\"\n",
    "                            df.to_csv(\"data/anthology_conferences.csv\", sep=\"|\", index=False)\n",
    "                            download += 1\n",
    "                    except:\n",
    "                        print(\"Could not download id and title:\", id_, title)\n",
    "                        download += 1\n",
    "                        \n",
    "                    if download >= 100:\n",
    "                        t = time.time()\n",
    "                        print(\"Waiting with time \" + str(t) + \"...\")\n",
    "                        while time.time() - t < 300:\n",
    "                            continue\n",
    "                        print(\"Continued with time \" + str(time.time()) + \".\")\n",
    "                        download = 0\n",
    "                        #start = time.time()\n",
    "                    \n",
    "                break\n",
    "        print(\"Could not download title:\", title, tt, result[\"title\"][\"text\"], result[\"year\"][\"text\"], row[\"year\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "e7d625c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of entries with scholar entries: 15631\n",
      "Number of entries without scholar entries: 82\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of entries with scholar entries:\", len(df[df[\"semantic_scholar\"] != \"\"]))\n",
    "print(\"Number of entries without scholar entries:\", len(df[df[\"semantic_scholar\"] == \"\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "ee01a097",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title is different:\n",
      "Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts and \n",
      "Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts False\n",
      "Year is different:\n",
      "2019 and \n",
      "2019 True\n",
      "Authors not found: [{'authorId': '144354055', 'name': 'Elizabeth Clark', 'url': 'https://www.semanticscholar.org/author/144354055'}, {'authorId': '1709797', 'name': 'A. Çelikyilmaz', 'url': 'https://www.semanticscholar.org/author/1709797'}, {'authorId': '144365875', 'name': 'Noah A. Smith', 'url': 'https://www.semanticscholar.org/author/144365875'}] and Clark, Elizabeth  and\n",
      "Celikyilmaz, Asli  and\n",
      "Smith, Noah A.\n",
      "####################################################\n",
      "Title is different:\n",
      "Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations. and \n",
      "Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations False\n",
      "Year is different:\n",
      "2019 and \n",
      "2019 True\n",
      "Authors not found: [{'authorId': '144918133', 'name': 'Marcos Garcia', 'url': 'https://www.semanticscholar.org/author/144918133'}, {'authorId': '32138651', 'name': 'Marcos García-Salido', 'url': 'https://www.semanticscholar.org/author/32138651'}, {'authorId': '144808158', 'name': 'Susana Sotelo', 'url': 'https://www.semanticscholar.org/author/144808158'}, {'authorId': '3196143', 'name': 'Estela Mosqueira Suárez', 'url': 'https://www.semanticscholar.org/author/3196143'}, {'authorId': '2070026481', 'name': 'Margarita Alonso Ramos', 'url': 'https://www.semanticscholar.org/author/2070026481'}] and Garcia, Marcos  and\n",
      "Garcı́a Salido, Marcos  and\n",
      "Sotelo, Susana  and\n",
      "Mosqueira, Estela  and\n",
      "Alonso-Ramos, Margarita\n",
      "####################################################\n",
      "Title is different:\n",
      "Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling and \n",
      "Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling False\n",
      "Year is different:\n",
      "2019 and \n",
      "2019 True\n",
      "Authors not found: [{'authorId': '30083905', 'name': 'Robert L Logan IV', 'url': 'https://www.semanticscholar.org/author/30083905'}, {'authorId': '22243769', 'name': 'Nelson F. Liu', 'url': 'https://www.semanticscholar.org/author/22243769'}, {'authorId': '39139825', 'name': 'Matthew E. Peters', 'url': 'https://www.semanticscholar.org/author/39139825'}, {'authorId': '40642935', 'name': 'Matt Gardner', 'url': 'https://www.semanticscholar.org/author/40642935'}, {'authorId': '34650964', 'name': 'Sameer Singh', 'url': 'https://www.semanticscholar.org/author/34650964'}] and Logan, Robert  and\n",
      "Liu, Nelson F.  and\n",
      "Peters, Matthew E.  and\n",
      "Gardner, Matt  and\n",
      "Singh, Sameer\n",
      "####################################################\n",
      "Title is different:\n",
      "Weakly Supervised Semantic Parsing with Abstract Examples and \n",
      "Weakly-supervised Semantic Parsing with Abstract Examples False\n",
      "Year is different:\n",
      "2018 and \n",
      "2018 True\n",
      "Authors not found: [{'authorId': '40060272', 'name': 'Omer Goldman', 'url': 'https://www.semanticscholar.org/author/40060272'}, {'authorId': '29995084', 'name': 'Veronica Latcinnik', 'url': 'https://www.semanticscholar.org/author/29995084'}, {'authorId': '51180269', 'name': 'Udi Naveh', 'url': 'https://www.semanticscholar.org/author/51180269'}, {'authorId': '1786843', 'name': 'A. Globerson', 'url': 'https://www.semanticscholar.org/author/1786843'}, {'authorId': '1750652', 'name': 'Jonathan Berant', 'url': 'https://www.semanticscholar.org/author/1750652'}] and Goldman, Omer  and\n",
      "Latcinnik, Veronica  and\n",
      "Nave, Ehud  and\n",
      "Globerson, Amir  and\n",
      "Berant, Jonathan\n",
      "####################################################\n",
      "Title is different:\n",
      "On the role of context and prosody in the interpretation of `okay' and \n",
      "On the role of context and prosody in the interpretation of 'okay' False\n",
      "Year is different:\n",
      "2007 and \n",
      "2007 True\n",
      "Authors not found: [{'authorId': '2838960', 'name': 'A. Gravano', 'url': 'https://www.semanticscholar.org/author/2838960'}, {'authorId': '1708180', 'name': 'S. Benus', 'url': 'https://www.semanticscholar.org/author/1708180'}, {'authorId': '2075255074', 'name': 'Hector Chavez', 'url': 'https://www.semanticscholar.org/author/2075255074'}, {'authorId': '144049352', 'name': 'Julia Hirschberg', 'url': 'https://www.semanticscholar.org/author/144049352'}, {'authorId': '2073553030', 'name': 'Lauren Wilcox', 'url': 'https://www.semanticscholar.org/author/2073553030'}] and Gravano, Agustı́n  and\n",
      "Benus, Stefan  and\n",
      "Chávez, Héctor  and\n",
      "Hirschberg, Julia  and\n",
      "Wilcox, Lauren\n",
      "####################################################\n",
      "Title is different:\n",
      "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach and \n",
      "Refined Lexikon Models for Statistical Machine Translation Using a Maximum Entropy Approach False\n",
      "Year is different:\n",
      "2001 and \n",
      "2001 True\n",
      "Authors not found: [{'authorId': '1403372804', 'name': 'I. García-Varea', 'url': 'https://www.semanticscholar.org/author/1403372804'}, {'authorId': '2002316', 'name': 'F. Och', 'url': 'https://www.semanticscholar.org/author/2002316'}, {'authorId': '145322333', 'name': 'H. Ney', 'url': 'https://www.semanticscholar.org/author/145322333'}, {'authorId': '1696761', 'name': 'F. Casacuberta', 'url': 'https://www.semanticscholar.org/author/1696761'}] and Garcı́a-Varea, Ismael  and\n",
      "Och, Franz J.  and\n",
      "Ney, Hermann  and\n",
      "Casacuberta, Francisco\n",
      "####################################################\n",
      "Title is different:\n",
      "Tagging Inflective Languages: Prediction of Morphological Categories for a Rich Structured Tagset and \n",
      "Tagging Inflective Languages: Prediction of Morphological Categories for a Rich, Structured Tagset False\n",
      "Year is different:\n",
      "1998 and \n",
      "1998 True\n",
      "Authors not found: [{'authorId': '144002335', 'name': 'Jan Hajic', 'url': 'https://www.semanticscholar.org/author/144002335'}, {'authorId': '1963585', 'name': 'B. Hladká', 'url': 'https://www.semanticscholar.org/author/1963585'}] and Hajič, Jan  and\n",
      "Hladká, Barbora\n",
      "####################################################\n",
      "Title is different:\n",
      "Planning Reference Choices for Argumentative Teas and \n",
      "Planning Reference CHoices for Argumentative Texts False\n",
      "Year is different:\n",
      "1997 and \n",
      "None False\n",
      "Authors not found: [{'authorId': '1706066', 'name': 'Xiaorong Huang', 'url': 'https://www.semanticscholar.org/author/1706066'}] and Huang, Xiaorong\n",
      "####################################################\n",
      "Title is different:\n",
      "Some Novel Applications of Explanation-Based Learning to Parsing Lexicalized Tree-Adjoining Grammars and \n",
      "Some Novel Applications of Explanation-Based Learning for Parsing Lexicalized Tree-Adjoining Grammars False\n",
      "Year is different:\n",
      "1995 and \n",
      "1995 True\n",
      "Authors not found: [{'authorId': '35313721', 'name': 'S. Bangalore', 'url': 'https://www.semanticscholar.org/author/35313721'}, {'authorId': '1714374', 'name': 'A. Joshi', 'url': 'https://www.semanticscholar.org/author/1714374'}] and Srinivas, B.  and\n",
      "Joshi, Aravind K.\n",
      "####################################################\n",
      "Title is different:\n",
      "Towards History-based Grammars: Using Richer Models for Probabilistic Parsing and \n",
      "Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing False\n",
      "Year is different:\n",
      "1993 and \n",
      "1992 False\n",
      "Authors not found: [{'authorId': '1818123', 'name': 'E. Black', 'url': 'https://www.semanticscholar.org/author/1818123'}, {'authorId': '2472759', 'name': 'F. Jelinek', 'url': 'https://www.semanticscholar.org/author/2472759'}, {'authorId': '1739581', 'name': 'J. Lafferty', 'url': 'https://www.semanticscholar.org/author/1739581'}, {'authorId': '2580777', 'name': 'David M. Magerman', 'url': 'https://www.semanticscholar.org/author/2580777'}, {'authorId': '2474650', 'name': 'R. Mercer', 'url': 'https://www.semanticscholar.org/author/2474650'}, {'authorId': '1781292', 'name': 'S. Roukos', 'url': 'https://www.semanticscholar.org/author/1781292'}] and Black, Ezra  and\n",
      "Jelinek, Fred  and\n",
      "Lafrerty, John  and\n",
      "Magerman, David M.  and\n",
      "Mercer, Robert  and\n",
      "Roukos, Salim\n",
      "####################################################\n",
      "Title is different:\n",
      "Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast---Choose Three and \n",
      "Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—Choose Three False\n",
      "Year is different:\n",
      "2020 and \n",
      "2020 True\n",
      "Authors not found: [{'authorId': '145653742', 'name': 'S. Reich', 'url': 'https://www.semanticscholar.org/author/145653742'}, {'authorId': '1476810451', 'name': 'David Müller', 'url': 'https://www.semanticscholar.org/author/1476810451'}, {'authorId': '145580321', 'name': 'Nicholas Andrews', 'url': 'https://www.semanticscholar.org/author/145580321'}] and Reich, Steven  and\n",
      "Mueller, David  and\n",
      "Andrews, Nicholas\n",
      "####################################################\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title is different:\n",
      "LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs and \n",
      "LemmaTag: Jointly Tagging and Lemmatizing for Morphologically-Rich Languages with BRNNs False\n",
      "Year is different:\n",
      "2018 and \n",
      "2018 True\n",
      "Authors not found: [{'authorId': '51208108', 'name': 'D. Kondratyuk', 'url': 'https://www.semanticscholar.org/author/51208108'}, {'authorId': '2045675', 'name': 'T. Gavenčiak', 'url': 'https://www.semanticscholar.org/author/2045675'}, {'authorId': '2757959', 'name': 'Milan Straka', 'url': 'https://www.semanticscholar.org/author/2757959'}, {'authorId': '144002335', 'name': 'Jan Hajic', 'url': 'https://www.semanticscholar.org/author/144002335'}] and Kondratyuk, Daniel  and\n",
      "Gavenčiak, Tomáš  and\n",
      "Straka, Milan  and\n",
      "Hajič, Jan\n",
      "####################################################\n",
      "Title is different:\n",
      "Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation and \n",
      "Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation False\n",
      "Year is different:\n",
      "2014 and \n",
      "2014 True\n",
      "Authors not found: [{'authorId': '1979489', 'name': 'Kyunghyun Cho', 'url': 'https://www.semanticscholar.org/author/1979489'}, {'authorId': '3158246', 'name': 'B. V. Merrienboer', 'url': 'https://www.semanticscholar.org/author/3158246'}, {'authorId': '1854385', 'name': 'Çaglar Gülçehre', 'url': 'https://www.semanticscholar.org/author/1854385'}, {'authorId': '3335364', 'name': 'Dzmitry Bahdanau', 'url': 'https://www.semanticscholar.org/author/3335364'}, {'authorId': '2076086', 'name': 'Fethi Bougares', 'url': 'https://www.semanticscholar.org/author/2076086'}, {'authorId': '144518416', 'name': 'Holger Schwenk', 'url': 'https://www.semanticscholar.org/author/144518416'}, {'authorId': '1751762', 'name': 'Yoshua Bengio', 'url': 'https://www.semanticscholar.org/author/1751762'}] and Cho, Kyunghyun  and\n",
      "van Merriënboer, Bart  and\n",
      "Gulcehre, Caglar  and\n",
      "Bahdanau, Dzmitry  and\n",
      "Bougares, Fethi  and\n",
      "Schwenk, Holger  and\n",
      "Bengio, Yoshua\n",
      "####################################################\n",
      "Title is different:\n",
      "Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources and \n",
      "Identification of Multiword Expressions by Combining Multiple Linguistic Information Sources False\n",
      "Year is different:\n",
      "2011 and \n",
      "2014 False\n",
      "Authors not found: [{'authorId': '145317727', 'name': 'Yulia Tsvetkov', 'url': 'https://www.semanticscholar.org/author/145317727'}, {'authorId': '2524073', 'name': 'S. Wintner', 'url': 'https://www.semanticscholar.org/author/2524073'}] and Tsvetkov, Yulia  and\n",
      "Wintner, Shuly\n",
      "####################################################\n",
      "Title is different:\n",
      "Cheap and Fast -- But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks and \n",
      "Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks False\n",
      "Year is different:\n",
      "2008 and \n",
      "2008 True\n",
      "Authors not found: [{'authorId': '144621026', 'name': 'R. Snow', 'url': 'https://www.semanticscholar.org/author/144621026'}, {'authorId': '153724741', 'name': \"Brendan T. O'Connor\", 'url': 'https://www.semanticscholar.org/author/153724741'}, {'authorId': '1746807', 'name': 'Dan Jurafsky', 'url': 'https://www.semanticscholar.org/author/1746807'}, {'authorId': '34699434', 'name': 'A. Ng', 'url': 'https://www.semanticscholar.org/author/34699434'}] and Snow, Rion  and\n",
      "O′Connor, Brendan  and\n",
      "Jurafsky, Daniel  and\n",
      "Ng, Andrew\n",
      "####################################################\n",
      "Title is different:\n",
      "Training Tree Transducers and \n",
      "Training Tree Transducers True\n",
      "Year is different:\n",
      "2004 and \n",
      "2008 False\n",
      "Authors not found: [{'authorId': '3223661', 'name': 'Jonathan Graehl', 'url': 'https://www.semanticscholar.org/author/3223661'}, {'authorId': '152971314', 'name': 'Kevin Knight', 'url': 'https://www.semanticscholar.org/author/152971314'}, {'authorId': '143823227', 'name': 'Jonathan May', 'url': 'https://www.semanticscholar.org/author/143823227'}] and Graehl, Jonathan  and\n",
      "Knight, Kevin\n",
      "####################################################\n",
      "Title is different:\n",
      "Learning to Predict Problematic Situations in a Spoken Dialogue System: Experiments with How May I Help You? and \n",
      "Learning to Predict Problematic Situations in a Spoken Dialogue System: Experiments with How May I Help You ? False\n",
      "Year is different:\n",
      "2000 and \n",
      "2000 True\n",
      "Authors not found: [{'authorId': '1760530', 'name': 'M. Walker', 'url': 'https://www.semanticscholar.org/author/1760530'}, {'authorId': '1390051006', 'name': 'I. Langkilde-Geary', 'url': 'https://www.semanticscholar.org/author/1390051006'}, {'authorId': '49095270', 'name': 'J. Wright', 'url': 'https://www.semanticscholar.org/author/49095270'}, {'authorId': '1799096', 'name': 'A. Gorin', 'url': 'https://www.semanticscholar.org/author/1799096'}, {'authorId': '1737616', 'name': 'D. Litman', 'url': 'https://www.semanticscholar.org/author/1737616'}] and Walker, Marilyn  and\n",
      "Langkilde, Irene  and\n",
      "Wright, Jerry  and\n",
      "Gorin, Allen  and\n",
      "Litman, Diane\n",
      "####################################################\n",
      "Title is different:\n",
      "Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities and \n",
      "Don’t Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities False\n",
      "Year is different:\n",
      "2020 and \n",
      "2020 True\n",
      "Authors not found: [{'authorId': '1405384366', 'name': 'Carla Pérez-Almendros', 'url': 'https://www.semanticscholar.org/author/1405384366'}, {'authorId': '2254466', 'name': 'Luis Espinosa Anke', 'url': 'https://www.semanticscholar.org/author/2254466'}, {'authorId': '2265382', 'name': 'S. Schockaert', 'url': 'https://www.semanticscholar.org/author/2265382'}] and Perez Almendros, Carla  and\n",
      "Espinosa Anke, Luis  and\n",
      "Schockaert, Steven\n",
      "####################################################\n",
      "Title is different:\n",
      "A Retrospective Analysis of the Fake News Challenge Stance-Detection Task and \n",
      "A Retrospective Analysis of the Fake News Challenge Stance Detection Task False\n",
      "Year is different:\n",
      "2018 and \n",
      "2018 True\n",
      "Authors not found: [{'authorId': '36209516', 'name': 'Andreas Hanselowski', 'url': 'https://www.semanticscholar.org/author/36209516'}, {'authorId': '1414239847', 'name': 'S. AvineshP.V.', 'url': 'https://www.semanticscholar.org/author/1414239847'}, {'authorId': '36294183', 'name': 'Benjamin Schiller', 'url': 'https://www.semanticscholar.org/author/36294183'}, {'authorId': '1411295623', 'name': 'Felix Caspelherr', 'url': 'https://www.semanticscholar.org/author/1411295623'}, {'authorId': '35464282', 'name': 'Debanjan Chaudhuri', 'url': 'https://www.semanticscholar.org/author/35464282'}, {'authorId': '145575695', 'name': 'C. Meyer', 'url': 'https://www.semanticscholar.org/author/145575695'}, {'authorId': '1730400', 'name': 'Iryna Gurevych', 'url': 'https://www.semanticscholar.org/author/1730400'}] and Hanselowski, Andreas  and\n",
      "PVS, Avinesh  and\n",
      "Schiller, Benjamin  and\n",
      "Caspelherr, Felix  and\n",
      "Chaudhuri, Debanjan  and\n",
      "Meyer, Christian M.  and\n",
      "Gurevych, Iryna\n",
      "####################################################\n",
      "Title is different:\n",
      "plWordNet 3.0 -- a Comprehensive Lexical-Semantic Resource and \n",
      "plWordNet 3.0 - a Comprehensive Lexical-Semantic Resource False\n",
      "Year is different:\n",
      "2016 and \n",
      "2016 True\n",
      "Authors not found: [{'authorId': '3254882', 'name': 'Marek Maziarz', 'url': 'https://www.semanticscholar.org/author/3254882'}, {'authorId': '144205338', 'name': 'M. Piasecki', 'url': 'https://www.semanticscholar.org/author/144205338'}, {'authorId': '143835901', 'name': 'E. Rudnicka', 'url': 'https://www.semanticscholar.org/author/143835901'}, {'authorId': '1795595', 'name': 'Stan Szpakowicz', 'url': 'https://www.semanticscholar.org/author/1795595'}, {'authorId': '2608047', 'name': 'P. Kedzia', 'url': 'https://www.semanticscholar.org/author/2608047'}] and Maziarz, Marek  and\n",
      "Piasecki, Maciej  and\n",
      "Rudnicka, Ewa  and\n",
      "Szpakowicz, Stan  and\n",
      "Kędzia, Paweł\n",
      "####################################################\n",
      "Title is different:\n",
      "Prague Dependency Treebank 2.5 -- a Revisited Version of PDT 2.0 and \n",
      "Prague Dependency Treebank 2.5 - a Revisited Version of PDT 2.0 False\n",
      "Year is different:\n",
      "2012 and \n",
      "2012 True\n",
      "Authors not found: [{'authorId': '2254914', 'name': 'E. Bejcek', 'url': 'https://www.semanticscholar.org/author/2254914'}, {'authorId': '1699968', 'name': 'J. Panevová', 'url': 'https://www.semanticscholar.org/author/1699968'}, {'authorId': '2627385', 'name': 'J. Popelka', 'url': 'https://www.semanticscholar.org/author/2627385'}, {'authorId': '1788237', 'name': 'P. Stranák', 'url': 'https://www.semanticscholar.org/author/1788237'}, {'authorId': '3259983', 'name': 'M. Sevcíková', 'url': 'https://www.semanticscholar.org/author/3259983'}, {'authorId': '153593239', 'name': 'J. Stepánek', 'url': 'https://www.semanticscholar.org/author/153593239'}, {'authorId': '2468732', 'name': 'Z. Žabokrtský', 'url': 'https://www.semanticscholar.org/author/2468732'}] and Bejček, Eduard  and\n",
      "Panevová, Jarmila  and\n",
      "Popelka, Jan  and\n",
      "Straňák, Pavel  and\n",
      "Ševčı́ková, Magda  and\n",
      "Štěpánek, Jan  and\n",
      "Žabokrtský, Zdeněk\n",
      "####################################################\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title is different:\n",
      "The Queen's Agents: Using Collaborating Object-Based Dialogue Agents in the Queen's Communicator and \n",
      "The Queen’s Agents: Using Collaborating Object-Based Dialogue Agents in the Queen’s Communicator False\n",
      "Year is different:\n",
      "2004 and \n",
      "2004 True\n",
      "Authors not found: [{'authorId': '1402164644', 'name': \"Ian M. O'Neill\", 'url': 'https://www.semanticscholar.org/author/1402164644'}, {'authorId': '144432756', 'name': 'Philip Hanna', 'url': 'https://www.semanticscholar.org/author/144432756'}, {'authorId': '31436700', 'name': 'X. Liu', 'url': 'https://www.semanticscholar.org/author/31436700'}, {'authorId': '145507308', 'name': 'M. McTear', 'url': 'https://www.semanticscholar.org/author/145507308'}] and O′Neill, Ian  and\n",
      "Hanna, Philip  and\n",
      "Liu, Xingkun  and\n",
      "McTear, Michael\n",
      "####################################################\n",
      "Title is different:\n",
      "JaBot: a multilingual Java-based intelligent agent for Web sites and \n",
      "JaBot: a multilingual Java-based intelligent agent for Web sites True\n",
      "Year is different:\n",
      "1998 and \n",
      "None False\n",
      "Authors not found: [{'authorId': '31174175', 'name': 'Tim Read', 'url': 'https://www.semanticscholar.org/author/31174175'}, {'authorId': '1767368', 'name': 'E. Bárcena', 'url': 'https://www.semanticscholar.org/author/1767368'}] and Read, Tim  and\n",
      "Barcena, Elena\n",
      "####################################################\n",
      "Title is different:\n",
      "Building Accurate Semantic Taxonomies Monolingual MRDs and \n",
      "Building Accurate Semantic Taxonomies Monolingual MRDs True\n",
      "Year is different:\n",
      "1998 and \n",
      "None False\n",
      "Authors not found: [{'authorId': '1785173', 'name': 'German Rigau', 'url': 'https://www.semanticscholar.org/author/1785173'}, {'authorId': '144444054', 'name': 'H. Rodríguez', 'url': 'https://www.semanticscholar.org/author/144444054'}, {'authorId': '1733049', 'name': 'Eneko Agirre', 'url': 'https://www.semanticscholar.org/author/1733049'}] and Rigau, German  and\n",
      "Rodriguez, Horacio  and\n",
      "Agirre, Eneko\n",
      "####################################################\n",
      "Title is different:\n",
      "Similarity metrics for aligning children's articulation data and \n",
      "Similarity metrics for aligning children’s articulation data False\n",
      "Year is different:\n",
      "1998 and \n",
      "None False\n",
      "Authors not found: [{'authorId': '1876369', 'name': 'H. Somers', 'url': 'https://www.semanticscholar.org/author/1876369'}] and Somers, Harold L.\n",
      "####################################################\n",
      "Title is different:\n",
      "A Connectionist Approach to Prepositional Phrase Attachment for Real World Texts and \n",
      "A Connectionist Approach to Prepositional Phrase Attachment for Real World Texts True\n",
      "Year is different:\n",
      "1998 and \n",
      "2002 False\n",
      "Authors not found: [{'authorId': '46985247', 'name': 'J. Sopena', 'url': 'https://www.semanticscholar.org/author/46985247'}, {'authorId': '2534728', 'name': 'Agustí Lloberas', 'url': 'https://www.semanticscholar.org/author/2534728'}, {'authorId': '2064987633', 'name': 'J. L. Moliner', 'url': 'https://www.semanticscholar.org/author/2064987633'}] and Sopena, Josep M.  and\n",
      "LLoberas, Agusti  and\n",
      "Moliner, Joan L.\n",
      "####################################################\n",
      "Title is different:\n",
      "Anaphor resolution in unrestricted texts with partial parsing and \n",
      "Anaphor resolution in unrestricted texts with partial parsing True\n",
      "Year is different:\n",
      "1998 and \n",
      "None False\n",
      "Authors not found: [{'authorId': '152666680', 'name': 'A. Ferrández', 'url': 'https://www.semanticscholar.org/author/152666680'}, {'authorId': '144730147', 'name': 'M. Palomar', 'url': 'https://www.semanticscholar.org/author/144730147'}, {'authorId': '145350411', 'name': 'L. Moreno', 'url': 'https://www.semanticscholar.org/author/145350411'}] and Ferrandez, A.  and\n",
      "Palomar, M.  and\n",
      "Moreno, L.\n",
      "####################################################\n",
      "Title is different:\n",
      "GRICE INCORPORATED: Cooperativity in Spoken Dialogue and \n",
      "GRICE INCORPORATED Cooperativity in Spoken Dialogue False\n",
      "Year is different:\n",
      "1996 and \n",
      "1996 True\n",
      "Authors not found: [{'authorId': '1723958', 'name': 'L. Dybkjær', 'url': 'https://www.semanticscholar.org/author/1723958'}, {'authorId': '1714110', 'name': 'N. O. Bernsen', 'url': 'https://www.semanticscholar.org/author/1714110'}, {'authorId': '2969225', 'name': 'H. Dybkjær', 'url': 'https://www.semanticscholar.org/author/2969225'}] and Dybkjaer, Laila  and\n",
      "Bernsen, Niels Ole  and\n",
      "Dybkjaer, Hans\n",
      "####################################################\n",
      "Title is different:\n",
      "Disambiguation of Super Parts of Speech (or Supertags): Almost Parsing and \n",
      "Disambiguation of Super Parts of Speech (or Supertags): Allnost Parsing False\n",
      "Year is different:\n",
      "1994 and \n",
      "1994 True\n",
      "Authors not found: [{'authorId': '1714374', 'name': 'A. Joshi', 'url': 'https://www.semanticscholar.org/author/1714374'}, {'authorId': '35313721', 'name': 'S. Bangalore', 'url': 'https://www.semanticscholar.org/author/35313721'}] and Joshi, Aravind K.  and\n",
      "Srinivas, B.\n",
      "####################################################\n",
      "Title is different:\n",
      "Generating Multilingual Documents from a Knowledge Base The TECHDOC Project and \n",
      "Generating Multilingual Documents from a Knowledge Base: The TECHDOC Project False\n",
      "Year is different:\n",
      "1994 and \n",
      "1994 True\n",
      "Authors not found: [{'authorId': '2419897', 'name': 'D. Rösner', 'url': 'https://www.semanticscholar.org/author/2419897'}, {'authorId': '2574304', 'name': 'Manfred Stede', 'url': 'https://www.semanticscholar.org/author/2574304'}] and Rosner, Dietmar  and\n",
      "Stede, Manfred\n",
      "####################################################\n",
      "Title is different:\n",
      "Besoins Lexicaux a La Lumiere De L'analyse Statistique Du Corpus De Textes Du Projet \"BREF\" - Le Lexique \"BDLEX\" Du Francais Ecrit Et Oral and \n",
      "Besoins Lexicaux a La Lumiere De L’analyse Statistique Du Corpus De Textes Du Projet “BREF” - Le Lexique “BDLEX” Du Francais Ecrit Et Oral False\n",
      "Year is different:\n",
      "1992 and \n",
      "1992 True\n",
      "Authors not found: [{'authorId': '1995093', 'name': 'I. Ferrané', 'url': 'https://www.semanticscholar.org/author/1995093'}, {'authorId': '2075996006', 'name': 'M. Calmès', 'url': 'https://www.semanticscholar.org/author/2075996006'}, {'authorId': '50368151', 'name': 'D. Cotto', 'url': 'https://www.semanticscholar.org/author/50368151'}, {'authorId': '2151041', 'name': 'J. Pecatte', 'url': 'https://www.semanticscholar.org/author/2151041'}, {'authorId': '2084459915', 'name': 'G. Perennou', 'url': 'https://www.semanticscholar.org/author/2084459915'}] and Ferrane, I.  and\n",
      "de Calmes, M.  and\n",
      "Cotto, D.  and\n",
      "Pecatte, J.M.  and\n",
      "Perennou, G.\n",
      "####################################################\n",
      "Title is different:\n",
      "Derivation of Underlying Valency Frames From a Learner's Dictionary and \n",
      "Derivation of Underlying Valency Frames From a Learner’s Dictionary False\n",
      "Year is different:\n",
      "1992 and \n",
      "1992 True\n",
      "Authors not found: [{'authorId': '40482894', 'name': 'Alexandr Rosen', 'url': 'https://www.semanticscholar.org/author/40482894'}, {'authorId': '1735736', 'name': 'E. Hajicová', 'url': 'https://www.semanticscholar.org/author/1735736'}, {'authorId': '144002335', 'name': 'Jan Hajic', 'url': 'https://www.semanticscholar.org/author/144002335'}] and Rosen, Alexandr  and\n",
      "Hajicova, Eva  and\n",
      "Hajic, Jan\n",
      "####################################################\n",
      "Title is different:\n",
      "On Trying to Do Things with Words Another plan-based approach to speech act interpretation and \n",
      "On Trying to Do Things with Words: Another plan-based approach to speech act interpretation False\n",
      "Year is different:\n",
      "1990 and \n",
      "1990 True\n",
      "Authors not found: [{'authorId': '3179680', 'name': 'Michael J. Hußmann', 'url': 'https://www.semanticscholar.org/author/3179680'}, {'authorId': '2504676', 'name': 'Heinz Genzmann', 'url': 'https://www.semanticscholar.org/author/2504676'}] and HuBmann, Michael J.  and\n",
      "Genzmann, Heinz\n",
      "####################################################\n",
      "Title is different:\n",
      "Increasing our Ignorance' of Language: Identifying Language Structure in an Unknown `Signal' and \n",
      "Increasing our Ignorance' of Language: Identifying Language Structure in an Unknown 'Signal' False\n",
      "Year is different:\n",
      "2000 and \n",
      "2000 True\n",
      "Authors not found: [{'authorId': '2069514883', 'name': 'John Elliott', 'url': 'https://www.semanticscholar.org/author/2069514883'}, {'authorId': '144214753', 'name': 'E. Atwell', 'url': 'https://www.semanticscholar.org/author/144214753'}, {'authorId': '2077084061', 'name': 'Bill Whyte', 'url': 'https://www.semanticscholar.org/author/2077084061'}] and Elliot, John  and\n",
      "Atwell, Eric  and\n",
      "Whyte, Bill\n",
      "####################################################\n",
      "Title is different:\n",
      "Better Document-Level Machine Translation with Bayes' Rule and \n",
      "Better Document-Level Machine Translation with Bayes’ Rule False\n",
      "Year is different:\n",
      "2020 and \n",
      "2019 False\n",
      "Authors not found: [{'authorId': '49296869', 'name': 'L. Yu', 'url': 'https://www.semanticscholar.org/author/49296869'}, {'authorId': '1389567300', 'name': 'Laurent Sartran', 'url': 'https://www.semanticscholar.org/author/1389567300'}, {'authorId': '3448463', 'name': 'Wojciech Stokowiec', 'url': 'https://www.semanticscholar.org/author/3448463'}, {'authorId': '1379953252', 'name': 'Wang Ling', 'url': 'https://www.semanticscholar.org/author/1379953252'}, {'authorId': '47648549', 'name': 'Lingpeng Kong', 'url': 'https://www.semanticscholar.org/author/47648549'}, {'authorId': '1685771', 'name': 'P. Blunsom', 'url': 'https://www.semanticscholar.org/author/1685771'}, {'authorId': '1745899', 'name': 'Chris Dyer', 'url': 'https://www.semanticscholar.org/author/1745899'}] and Yu, Lei  and\n",
      "Sartran, Laurent  and\n",
      "Stokowiec, Wojciech  and\n",
      "Ling, Wang  and\n",
      "Kong, Lingpeng  and\n",
      "Blunsom, Phil  and\n",
      "Dyer, Chris\n",
      "####################################################\n"
     ]
    }
   ],
   "source": [
    "# Validate semantic scholar paper mapping by title, year and author(s)\n",
    "# Check manually if the printed results are correct\n",
    "for i, row in df.iterrows():\n",
    "    if row[\"semantic_scholar\"] == \"\":\n",
    "        continue\n",
    "    with open(\"data/semantic_scholar/paper/\" + row[\"semantic_scholar\"]) as jf:\n",
    "        scholar = json.load(jf)\n",
    "        \n",
    "    title = row[\"title\"]\n",
    "    title = title.replace(\"``\", '\"')\n",
    "    title = title.replace(\"′\", \"'\")\n",
    "    title = title.replace(\"″\", '\"')\n",
    "    print_hashtag = False\n",
    "    \n",
    "    incorrect = 0\n",
    "    \n",
    "    if title.lower() != scholar[\"title\"].lower():\n",
    "        #print(\"Title is different: '\" + title + \" and \" + scholar[\"title\"])\n",
    "        print_hashtag = True\n",
    "        incorrect += 1\n",
    "        \n",
    "    if row[\"year\"] != scholar[\"year\"]:\n",
    "        #print(\"Year is different: '\" + str(row[\"year\"]) + \" and \" + str(scholar[\"year\"]))\n",
    "        print_hashtag = True\n",
    "        incorrect += 1\n",
    "        \n",
    "    for author in scholar[\"authors\"]:\n",
    "        lastName = author[\"name\"].split(\" \")[-1]\n",
    "        if lastName not in row[\"author\"]:\n",
    "            #print(\"Author not found:\", lastName, \"in\", row[\"author\"])\n",
    "            print_hashtag = True\n",
    "            incorrect += 1\n",
    "            break\n",
    "            \n",
    "    #if print_hashtag:  \n",
    "    if incorrect > 1:\n",
    "        print(\"Title is different:\\n\" + title + \" and \\n\" + scholar[\"title\"], title == scholar[\"title\"])\n",
    "        print(\"Year is different:\\n\" + str(row[\"year\"]) + \" and \\n\" + str(scholar[\"year\"]), row[\"year\"] == scholar[\"year\"])\n",
    "        print(\"Authors not found:\", scholar[\"authors\"], \"and\", row[\"author\"])\n",
    "        print(\"####################################################\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "062952d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of entries without abstract: 67\n",
      "Number of entries without abstract: 1\n"
     ]
    }
   ],
   "source": [
    "# Add missing abstracts from scholar \n",
    "print(\"Number of entries without abstract:\", len(df[df[\"abstract\"] == \"\"]))\n",
    "for i, row in df.iterrows():\n",
    "    if row[\"abstract\"] == \"\" and row[\"semantic_scholar\"] != \"\":\n",
    "        with open(\"data/semantic_scholar/papers/\" + row[\"semantic_scholar\"]) as jf:\n",
    "            scholar = json.load(jf)\n",
    "            df.at[i, \"abstract\"] = scholar[\"abstract\"]\n",
    "print(\"Number of entries without abstract:\", len(df[df[\"abstract\"] == \"\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "11b9148e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tacl_a_00286.json\n"
     ]
    }
   ],
   "source": [
    "# Remove unused scholar paper files\n",
    "used_papers = list(df[\"semantic_scholar\"])\n",
    "\n",
    "for paper in os.listdir(\"data/semantic_scholar/papers\"):\n",
    "    if paper not in used_papers:\n",
    "        print(paper)\n",
    "        os.remove(\"data/semantic_scholar/papers/\" + paper) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "7f0cb724",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store anthology dataframe in csv \n",
    "df.to_csv(\"data/anthology_conferences.csv\", sep=\"|\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "6d90e7cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of authors: 18346\n",
      "Waiting with time 44.92010521888733...\n",
      "Continued with time 310.00000166893005.\n",
      "Waiting with time 51.27611184120178...\n",
      "Continued with time 310.00000166893005.\n",
      "Waiting with time 46.24449276924133...\n",
      "Continued with time 310.00000166893005.\n",
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      "Continued with time 310.0000011920929.\n",
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      "Continued with time 310.0000021457672.\n",
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      "Continued with time 310.00000190734863.\n",
      "Waiting with time 53.86233139038086...\n",
      "Continued with time 310.0000014305115.\n",
      "Could not download author: None\n",
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      "Continued with time 310.0000014305115.\n",
      "Waiting with time 43.60544538497925...\n",
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      "Continued with time 310.00000166893005.\n",
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      "Continued with time 310.0000014305115.\n",
      "Waiting with time 49.26500582695007...\n",
      "Continued with time 310.0000014305115.\n",
      "Waiting with time 44.82058334350586...\n",
      "Continued with time 310.0000014305115.\n",
      "Waiting with time 52.50014591217041...\n",
      "Continued with time 310.0000014305115.\n",
      "Waiting with time 51.0098192691803...\n",
      "Continued with time 310.00000166893005.\n",
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      "Continued with time 310.0000059604645.\n",
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      "Continued with time 310.00000166893005.\n",
      "Waiting with time 52.67553353309631...\n",
      "Continued with time 310.00000190734863.\n",
      "Waiting with time 50.960450410842896...\n",
      "Continued with time 310.00000166893005.\n",
      "Waiting with time 46.76439833641052...\n",
      "Continued with time 310.00000166893005.\n",
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      "Continued with time 310.00000166893005.\n",
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      "Continued with time 310.0000014305115.\n",
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      "Continued with time 310.00000166893005.\n",
      "Waiting with time 50.61446166038513...\n",
      "Continued with time 310.0000014305115.\n",
      "Could not download author: 46234526\n",
      "Could not download author: 48560534\n",
      "Could not download author: 49125925\n",
      "Could not download author: 3171570\n",
      "Could not download author: 7653108\n",
      "Could not download author: 5740011\n",
      "Could not download author: 35521559\n",
      "Could not download author: 144439805\n",
      "Could not download author: 1683391\n",
      "Could not download author: 2066497750\n",
      "Could not download author: 2923176\n",
      "Could not download author: 8446273\n",
      "Could not download author: 2243250\n",
      "Could not download author: 1693256\n",
      "Could not download author: 143654756\n",
      "Could not download author: 2065109\n",
      "Could not download author: 9145366\n",
      "Could not download author: 1836606\n",
      "Could not download author: 2084599989\n",
      "Waiting with time 72.97090148925781...\n",
      "Continued with time 310.00000166893005.\n",
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      "Continued with time 310.0000011920929.\n",
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      "Continued with time 310.0000009536743.\n",
      "Waiting with time 52.72604298591614...\n",
      "Continued with time 310.00000166893005.\n"
     ]
    }
   ],
   "source": [
    "# Download semantic scholar authors\n",
    "authors = []\n",
    "\n",
    "for name in os.listdir('./data/semantic_scholar/papers/'):\n",
    "    with open('./data/semantic_scholar/papers/' + name) as jf:\n",
    "        p = json.load(jf)\n",
    "        athrs = p[\"authors\"]\n",
    "    for author in athrs:\n",
    "        authors.append(author[\"authorId\"])\n",
    "        \n",
    "authors = set(authors)\n",
    "print(\"Number of authors:\", len(authors))\n",
    "        \n",
    "download = 0\n",
    "start = time.time()\n",
    "        \n",
    "for author in authors:\n",
    "    try:\n",
    "        if not os.path.exists(\"data/semantic_scholar/authors/\" + author + \".json\"):\n",
    "            filename = wget.download(\"https://api.semanticscholar.org/v1/author/\" + author, out=\"data/semantic_scholar/authors/\" + author + \".json\")\n",
    "            #print(filename)\n",
    "            download += 1\n",
    "    except:\n",
    "        print(\"Could not download author:\", author)\n",
    "    t = time.time()\n",
    "    if download >= 100:\n",
    "        print(\"Waiting with time \" + str(t-start) + \"...\")\n",
    "        while time.time() - start < 310:\n",
    "            continue\n",
    "        print(\"Continued with time \" + str(time.time()-start) + \".\")\n",
    "        download = 0\n",
    "        start = time.time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "8d763645",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of authors: 18346\n"
     ]
    }
   ],
   "source": [
    "# Remove unused scholar author files\n",
    "authors = []\n",
    "\n",
    "for name in os.listdir('./data/semantic_scholar/papers/'):\n",
    "    with open('./data/semantic_scholar/papers/' + name) as jf:\n",
    "        p = json.load(jf)\n",
    "        athrs = p[\"authors\"]\n",
    "    for author in athrs:\n",
    "        authors.append(author[\"authorId\"])\n",
    "        \n",
    "authors = set(authors)\n",
    "print(\"Number of authors:\", len(authors))\n",
    "\n",
    "for author in os.listdir(\"data/semantic_scholar/authors\"):\n",
    "    if author.replace(\".json\", \"\") not in authors:\n",
    "        print(author)\n",
    "        #os.remove(\"data/semantic_scholar/authors/\" + author) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "00f0a131",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add author ids to dataframe\n",
    "df[\"semantic_scholar_authorIds\"] = \"\"\n",
    "\n",
    "for i, row in df.iterrows():\n",
    "    df.at[i, \"semantic_scholar_authorIds\"] = []\n",
    "    if row[\"semantic_scholar\"] != \"\":\n",
    "        with open(\"data/semantic_scholar/papers/\" + row[\"semantic_scholar\"]) as jf:\n",
    "            paper = json.load(jf)\n",
    "        authorIds = []\n",
    "        for author in paper[\"authors\"]:\n",
    "            authorIds.append(author[\"authorId\"])\n",
    "        df.at[i, \"semantic_scholar_authorIds\"] = authorIds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "fac33cba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>publisher</th>\n",
       "      <th>address</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>editor</th>\n",
       "      <th>title</th>\n",
       "      <th>ENTRYTYPE</th>\n",
       "      <th>ID</th>\n",
       "      <th>pages</th>\n",
       "      <th>...</th>\n",
       "      <th>journal</th>\n",
       "      <th>doi</th>\n",
       "      <th>isbn</th>\n",
       "      <th>language</th>\n",
       "      <th>number</th>\n",
       "      <th>note</th>\n",
       "      <th>pdf</th>\n",
       "      <th>abstract</th>\n",
       "      <th>semantic_scholar</th>\n",
       "      <th>semantic_scholar_authorIds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.1</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Learning to Understand Child-directed and Adul...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>gelderloos-etal-2020-learning</td>\n",
       "      <td>1--6</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>10.18653/v1/2020.acl-main.1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.1.pdf</td>\n",
       "      <td>Speech directed to children differs from adult...</td>\n",
       "      <td>2020.acl-main.1.json</td>\n",
       "      <td>[7805500, 2756960, 103538973]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.2</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Predicting Depression in Screening Interviews ...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>rinaldi-etal-2020-predicting</td>\n",
       "      <td>7--18</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>10.18653/v1/2020.acl-main.2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.2.pdf</td>\n",
       "      <td>Despite the pervasiveness of clinical depressi...</td>\n",
       "      <td>2020.acl-main.2.json</td>\n",
       "      <td>[19320780, 2457504, 37202877]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.3</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Coach: A Coarse-to-Fine Approach for Cross-dom...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>liu-etal-2020-coach</td>\n",
       "      <td>19--25</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>10.18653/v1/2020.acl-main.3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.3.pdf</td>\n",
       "      <td>As an essential task in task-oriented dialog s...</td>\n",
       "      <td>2020.acl-main.3.json</td>\n",
       "      <td>[152613855, 9162688, 145011005, 40539650]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.4</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Designing Precise and Robust Dialogue Response...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>zhao-etal-2020-designing</td>\n",
       "      <td>26--33</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>10.18653/v1/2020.acl-main.4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.4.pdf</td>\n",
       "      <td>Automatic dialogue response evaluator has been...</td>\n",
       "      <td>2020.acl-main.4.json</td>\n",
       "      <td>[46887780, 1939089, 1717105]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.5</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Dialogue State Tracking with Explicit Slot Con...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>ouyang-etal-2020-dialogue</td>\n",
       "      <td>34--40</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>10.18653/v1/2020.acl-main.5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.5.pdf</td>\n",
       "      <td>Recent proposed approaches have made promising...</td>\n",
       "      <td>2020.acl-main.5.json</td>\n",
       "      <td>[2070558572, 1753948811, 40539275, 2651937, 20...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15708</th>\n",
       "      <td>https://www.aclweb.org/anthology/Q13-1031</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Data-Driven Metaphor Recognition and Explanation</td>\n",
       "      <td>article</td>\n",
       "      <td>li-etal-2013-data</td>\n",
       "      <td>379--390</td>\n",
       "      <td>...</td>\n",
       "      <td>Transactions of the Association for Computatio...</td>\n",
       "      <td>10.1162/tacl_a_00235</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Q13-1031.pdf</td>\n",
       "      <td>Recognizing metaphors and identifying the sour...</td>\n",
       "      <td>tacl_a_00235.json</td>\n",
       "      <td>[1730603, 1796651, 1745000]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15709</th>\n",
       "      <td>https://www.aclweb.org/anthology/Q13-1032</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Powergrading: a Clustering Approach to Amplify...</td>\n",
       "      <td>article</td>\n",
       "      <td>basu-etal-2013-powergrading</td>\n",
       "      <td>391--402</td>\n",
       "      <td>...</td>\n",
       "      <td>Transactions of the Association for Computatio...</td>\n",
       "      <td>10.1162/tacl_a_00236</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Q13-1032.pdf</td>\n",
       "      <td>We introduce a new approach to the machine-ass...</td>\n",
       "      <td>tacl_a_00236.json</td>\n",
       "      <td>[8611534, 2052757405, 1909300]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15710</th>\n",
       "      <td>https://www.aclweb.org/anthology/Q13-1033</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Training Deterministic Parsers with Non-Determ...</td>\n",
       "      <td>article</td>\n",
       "      <td>goldberg-nivre-2013-training</td>\n",
       "      <td>403--414</td>\n",
       "      <td>...</td>\n",
       "      <td>Transactions of the Association for Computatio...</td>\n",
       "      <td>10.1162/tacl_a_00237</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Q13-1033.pdf</td>\n",
       "      <td>Greedy transition-based parsers are very fast ...</td>\n",
       "      <td>tacl_a_00237.json</td>\n",
       "      <td>[2089067, 1720988]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15711</th>\n",
       "      <td>https://www.aclweb.org/anthology/Q13-1034</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Joint Morphological and Syntactic Analysis for...</td>\n",
       "      <td>article</td>\n",
       "      <td>bohnet-etal-2013-joint</td>\n",
       "      <td>415--428</td>\n",
       "      <td>...</td>\n",
       "      <td>Transactions of the Association for Computatio...</td>\n",
       "      <td>10.1162/tacl_a_00238</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Q13-1034.pdf</td>\n",
       "      <td>Joint morphological and syntactic analysis has...</td>\n",
       "      <td>tacl_a_00238.json</td>\n",
       "      <td>[1678747, 1720988, 145605664, 144844761, 16944...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15712</th>\n",
       "      <td>https://www.aclweb.org/anthology/Q13-1035</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Measuring Machine Translation Errors in New Do...</td>\n",
       "      <td>article</td>\n",
       "      <td>irvine-etal-2013-measuring</td>\n",
       "      <td>429--440</td>\n",
       "      <td>...</td>\n",
       "      <td>Transactions of the Association for Computatio...</td>\n",
       "      <td>10.1162/tacl_a_00239</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Q13-1035.pdf</td>\n",
       "      <td>We develop two techniques for analyzing the ef...</td>\n",
       "      <td>tacl_a_00239.json</td>\n",
       "      <td>[144542160, 144096720, 2954727, 1722360, 2542900]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15713 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    url  \\\n",
       "0      https://www.aclweb.org/anthology/2020.acl-main.1   \n",
       "1      https://www.aclweb.org/anthology/2020.acl-main.2   \n",
       "2      https://www.aclweb.org/anthology/2020.acl-main.3   \n",
       "3      https://www.aclweb.org/anthology/2020.acl-main.4   \n",
       "4      https://www.aclweb.org/anthology/2020.acl-main.5   \n",
       "...                                                 ...   \n",
       "15708         https://www.aclweb.org/anthology/Q13-1031   \n",
       "15709         https://www.aclweb.org/anthology/Q13-1032   \n",
       "15710         https://www.aclweb.org/anthology/Q13-1033   \n",
       "15711         https://www.aclweb.org/anthology/Q13-1034   \n",
       "15712         https://www.aclweb.org/anthology/Q13-1035   \n",
       "\n",
       "                                       publisher address  year month editor  \\\n",
       "0      Association for Computational Linguistics  Online  2020  July          \n",
       "1      Association for Computational Linguistics  Online  2020  July          \n",
       "2      Association for Computational Linguistics  Online  2020  July          \n",
       "3      Association for Computational Linguistics  Online  2020  July          \n",
       "4      Association for Computational Linguistics  Online  2020  July          \n",
       "...                                          ...     ...   ...   ...    ...   \n",
       "15708                                                     2013                \n",
       "15709                                                     2013                \n",
       "15710                                                     2013                \n",
       "15711                                                     2013                \n",
       "15712                                                     2013                \n",
       "\n",
       "                                                   title      ENTRYTYPE  \\\n",
       "0      Learning to Understand Child-directed and Adul...  inproceedings   \n",
       "1      Predicting Depression in Screening Interviews ...  inproceedings   \n",
       "2      Coach: A Coarse-to-Fine Approach for Cross-dom...  inproceedings   \n",
       "3      Designing Precise and Robust Dialogue Response...  inproceedings   \n",
       "4      Dialogue State Tracking with Explicit Slot Con...  inproceedings   \n",
       "...                                                  ...            ...   \n",
       "15708   Data-Driven Metaphor Recognition and Explanation        article   \n",
       "15709  Powergrading: a Clustering Approach to Amplify...        article   \n",
       "15710  Training Deterministic Parsers with Non-Determ...        article   \n",
       "15711  Joint Morphological and Syntactic Analysis for...        article   \n",
       "15712  Measuring Machine Translation Errors in New Do...        article   \n",
       "\n",
       "                                  ID     pages  ...  \\\n",
       "0      gelderloos-etal-2020-learning      1--6  ...   \n",
       "1       rinaldi-etal-2020-predicting     7--18  ...   \n",
       "2                liu-etal-2020-coach    19--25  ...   \n",
       "3           zhao-etal-2020-designing    26--33  ...   \n",
       "4          ouyang-etal-2020-dialogue    34--40  ...   \n",
       "...                              ...       ...  ...   \n",
       "15708              li-etal-2013-data  379--390  ...   \n",
       "15709    basu-etal-2013-powergrading  391--402  ...   \n",
       "15710   goldberg-nivre-2013-training  403--414  ...   \n",
       "15711         bohnet-etal-2013-joint  415--428  ...   \n",
       "15712     irvine-etal-2013-measuring  429--440  ...   \n",
       "\n",
       "                                                 journal  \\\n",
       "0                                                          \n",
       "1                                                          \n",
       "2                                                          \n",
       "3                                                          \n",
       "4                                                          \n",
       "...                                                  ...   \n",
       "15708  Transactions of the Association for Computatio...   \n",
       "15709  Transactions of the Association for Computatio...   \n",
       "15710  Transactions of the Association for Computatio...   \n",
       "15711  Transactions of the Association for Computatio...   \n",
       "15712  Transactions of the Association for Computatio...   \n",
       "\n",
       "                               doi isbn language number note  \\\n",
       "0      10.18653/v1/2020.acl-main.1                             \n",
       "1      10.18653/v1/2020.acl-main.2                             \n",
       "2      10.18653/v1/2020.acl-main.3                             \n",
       "3      10.18653/v1/2020.acl-main.4                             \n",
       "4      10.18653/v1/2020.acl-main.5                             \n",
       "...                            ...  ...      ...    ...  ...   \n",
       "15708         10.1162/tacl_a_00235                             \n",
       "15709         10.1162/tacl_a_00236                             \n",
       "15710         10.1162/tacl_a_00237                             \n",
       "15711         10.1162/tacl_a_00238                             \n",
       "15712         10.1162/tacl_a_00239                             \n",
       "\n",
       "                       pdf                                           abstract  \\\n",
       "0      2020.acl-main.1.pdf  Speech directed to children differs from adult...   \n",
       "1      2020.acl-main.2.pdf  Despite the pervasiveness of clinical depressi...   \n",
       "2      2020.acl-main.3.pdf  As an essential task in task-oriented dialog s...   \n",
       "3      2020.acl-main.4.pdf  Automatic dialogue response evaluator has been...   \n",
       "4      2020.acl-main.5.pdf  Recent proposed approaches have made promising...   \n",
       "...                    ...                                                ...   \n",
       "15708         Q13-1031.pdf  Recognizing metaphors and identifying the sour...   \n",
       "15709         Q13-1032.pdf  We introduce a new approach to the machine-ass...   \n",
       "15710         Q13-1033.pdf  Greedy transition-based parsers are very fast ...   \n",
       "15711         Q13-1034.pdf  Joint morphological and syntactic analysis has...   \n",
       "15712         Q13-1035.pdf  We develop two techniques for analyzing the ef...   \n",
       "\n",
       "           semantic_scholar                         semantic_scholar_authorIds  \n",
       "0      2020.acl-main.1.json                      [7805500, 2756960, 103538973]  \n",
       "1      2020.acl-main.2.json                      [19320780, 2457504, 37202877]  \n",
       "2      2020.acl-main.3.json          [152613855, 9162688, 145011005, 40539650]  \n",
       "3      2020.acl-main.4.json                       [46887780, 1939089, 1717105]  \n",
       "4      2020.acl-main.5.json  [2070558572, 1753948811, 40539275, 2651937, 20...  \n",
       "...                     ...                                                ...  \n",
       "15708     tacl_a_00235.json                        [1730603, 1796651, 1745000]  \n",
       "15709     tacl_a_00236.json                     [8611534, 2052757405, 1909300]  \n",
       "15710     tacl_a_00237.json                                 [2089067, 1720988]  \n",
       "15711     tacl_a_00238.json  [1678747, 1720988, 145605664, 144844761, 16944...  \n",
       "15712     tacl_a_00239.json  [144542160, 144096720, 2954727, 1722360, 2542900]  \n",
       "\n",
       "[15713 rows x 23 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f5ed50b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store anthology dataframe in csv \n",
    "df.to_csv(\"data/anthology_conferences.csv\", sep=\"|\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9ca6cf4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add scholar keywords to dataframe\n",
    "df[\"semantic_scholar_keywords\"] = \"\"\n",
    "\n",
    "id2topic = dict()\n",
    "\n",
    "for i, row in df.iterrows():\n",
    "    if row[\"semantic_scholar\"] != \"\":\n",
    "        with open(\"data/semantic_scholar/papers/\" + row[\"semantic_scholar\"]) as jf:\n",
    "            data = json.load(jf)\n",
    "        topics = []\n",
    "        for topic in data[\"topics\"]:\n",
    "            topics.append(topic[\"topicId\"])\n",
    "            if topic[\"topicId\"] not in id2topic:\n",
    "                id2topic[topic[\"topicId\"]] = topic[\"topic\"]\n",
    "        df.at[i, \"semantic_scholar_keywords\"] = topics\n",
    "    else:\n",
    "        df.at[i, \"semantic_scholar_keywords\"] = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5c424fb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>url</th>\n",
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       "      <th>0</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.1</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
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       "      <td>Learning to Understand Child-directed and Adul...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>gelderloos-etal-2020-learning</td>\n",
       "      <td>1--6</td>\n",
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       "      <td>10.18653/v1/2020.acl-main.1</td>\n",
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       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.1.pdf</td>\n",
       "      <td>Speech directed to children differs from adult...</td>\n",
       "      <td>2020.acl-main.1.json</td>\n",
       "      <td>['7805500', '2756960', '103538973']</td>\n",
       "      <td>[1017215, 1588157]</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.2</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Predicting Depression in Screening Interviews ...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>rinaldi-etal-2020-predicting</td>\n",
       "      <td>7--18</td>\n",
       "      <td>...</td>\n",
       "      <td>10.18653/v1/2020.acl-main.2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.2.pdf</td>\n",
       "      <td>Despite the pervasiveness of clinical depressi...</td>\n",
       "      <td>2020.acl-main.2.json</td>\n",
       "      <td>['19320780', '2457504', '37202877']</td>\n",
       "      <td>[8505]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.3</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Coach: A Coarse-to-Fine Approach for Cross-dom...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>liu-etal-2020-coach</td>\n",
       "      <td>19--25</td>\n",
       "      <td>...</td>\n",
       "      <td>10.18653/v1/2020.acl-main.3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.3.pdf</td>\n",
       "      <td>As an essential task in task-oriented dialog s...</td>\n",
       "      <td>2020.acl-main.3.json</td>\n",
       "      <td>['152613855', '9162688', '145011005', '40539650']</td>\n",
       "      <td>[6664, 27148, 83260, 48813, 1117]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.4</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Designing Precise and Robust Dialogue Response...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>zhao-etal-2020-designing</td>\n",
       "      <td>26--33</td>\n",
       "      <td>...</td>\n",
       "      <td>10.18653/v1/2020.acl-main.4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.4.pdf</td>\n",
       "      <td>Automatic dialogue response evaluator has been...</td>\n",
       "      <td>2020.acl-main.4.json</td>\n",
       "      <td>['46887780', '1939089', '1717105']</td>\n",
       "      <td>[2760, 879, 26812, 8878, 14829, 48813, 76540, ...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.aclweb.org/anthology/2020.acl-main.5</td>\n",
       "      <td>Association for Computational Linguistics</td>\n",
       "      <td>Online</td>\n",
       "      <td>2020</td>\n",
       "      <td>July</td>\n",
       "      <td></td>\n",
       "      <td>Dialogue State Tracking with Explicit Slot Con...</td>\n",
       "      <td>inproceedings</td>\n",
       "      <td>ouyang-etal-2020-dialogue</td>\n",
       "      <td>34--40</td>\n",
       "      <td>...</td>\n",
       "      <td>10.18653/v1/2020.acl-main.5</td>\n",
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       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020.acl-main.5.pdf</td>\n",
       "      <td>Recent proposed approaches have made promising...</td>\n",
       "      <td>2020.acl-main.5.json</td>\n",
       "      <td>['2070558572', '1753948811', '40539275', '2651...</td>\n",
       "      <td>[1774526]</td>\n",
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       "                                                url  \\\n",
       "0  https://www.aclweb.org/anthology/2020.acl-main.1   \n",
       "1  https://www.aclweb.org/anthology/2020.acl-main.2   \n",
       "2  https://www.aclweb.org/anthology/2020.acl-main.3   \n",
       "3  https://www.aclweb.org/anthology/2020.acl-main.4   \n",
       "4  https://www.aclweb.org/anthology/2020.acl-main.5   \n",
       "\n",
       "                                   publisher address  year month editor  \\\n",
       "0  Association for Computational Linguistics  Online  2020  July          \n",
       "1  Association for Computational Linguistics  Online  2020  July          \n",
       "2  Association for Computational Linguistics  Online  2020  July          \n",
       "3  Association for Computational Linguistics  Online  2020  July          \n",
       "4  Association for Computational Linguistics  Online  2020  July          \n",
       "\n",
       "                                               title      ENTRYTYPE  \\\n",
       "0  Learning to Understand Child-directed and Adul...  inproceedings   \n",
       "1  Predicting Depression in Screening Interviews ...  inproceedings   \n",
       "2  Coach: A Coarse-to-Fine Approach for Cross-dom...  inproceedings   \n",
       "3  Designing Precise and Robust Dialogue Response...  inproceedings   \n",
       "4  Dialogue State Tracking with Explicit Slot Con...  inproceedings   \n",
       "\n",
       "                              ID   pages  ...                          doi  \\\n",
       "0  gelderloos-etal-2020-learning    1--6  ...  10.18653/v1/2020.acl-main.1   \n",
       "1   rinaldi-etal-2020-predicting   7--18  ...  10.18653/v1/2020.acl-main.2   \n",
       "2            liu-etal-2020-coach  19--25  ...  10.18653/v1/2020.acl-main.3   \n",
       "3       zhao-etal-2020-designing  26--33  ...  10.18653/v1/2020.acl-main.4   \n",
       "4      ouyang-etal-2020-dialogue  34--40  ...  10.18653/v1/2020.acl-main.5   \n",
       "\n",
       "  isbn language number note                  pdf  \\\n",
       "0                            2020.acl-main.1.pdf   \n",
       "1                            2020.acl-main.2.pdf   \n",
       "2                            2020.acl-main.3.pdf   \n",
       "3                            2020.acl-main.4.pdf   \n",
       "4                            2020.acl-main.5.pdf   \n",
       "\n",
       "                                            abstract      semantic_scholar  \\\n",
       "0  Speech directed to children differs from adult...  2020.acl-main.1.json   \n",
       "1  Despite the pervasiveness of clinical depressi...  2020.acl-main.2.json   \n",
       "2  As an essential task in task-oriented dialog s...  2020.acl-main.3.json   \n",
       "3  Automatic dialogue response evaluator has been...  2020.acl-main.4.json   \n",
       "4  Recent proposed approaches have made promising...  2020.acl-main.5.json   \n",
       "\n",
       "                          semantic_scholar_authorIds  \\\n",
       "0                ['7805500', '2756960', '103538973']   \n",
       "1                ['19320780', '2457504', '37202877']   \n",
       "2  ['152613855', '9162688', '145011005', '40539650']   \n",
       "3                 ['46887780', '1939089', '1717105']   \n",
       "4  ['2070558572', '1753948811', '40539275', '2651...   \n",
       "\n",
       "                           semantic_scholar_keywords  \n",
       "0                                 [1017215, 1588157]  \n",
       "1                                             [8505]  \n",
       "2                  [6664, 27148, 83260, 48813, 1117]  \n",
       "3  [2760, 879, 26812, 8878, 14829, 48813, 76540, ...  \n",
       "4                                          [1774526]  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0c5fe7de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7367"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(id2topic.values()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "61926283",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7383"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(id2topic.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "18992a16",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"data/semantic_scholar/topicId_mapping.json\", \"w\") as jf:\n",
    "    json.dump(id2topic, jf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bc840456",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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