AI & Language

git repo for the AI & Language Track of Applied Machine Learning Days 2019

View and edit the repo at github.com/amld/track-language/

Other language-related workshops and talks at AMLD 2019

There are other interesting workshops and talks on machine learning applied to natural language.

Document Digitization Challenge

Full-day: 09:00-16:30 January 26

Applied Language Technologies

Half-day: 13:30-16:30 January 26

Machine Learning for fake news detection: theory and practice

09:00-16:30 January 27

Multilingual word alignment

15:50-16:30 January 27 · with Armand Joulin, Research scientist, Facebook Artificial Intelligence Research

Building an on-device voice assistant with Snips

Half-day: 13:30-16:30 January 27

Reinforcement Learning - Natural language Processing - Sentiment analysis - NLTK

14:30 - 16:00 January 27

AI & Language

13:30-17:00 January 28

A Pragmatic View on Language Technologies

13:30-13:40 January 28 · with Kornelia Papp

What Do You Think? - Language Models for Snippet Extraction from News Article Comments

16:00-16:10 January 28 · with Tim Nonner

The Future of Digital Assistants - Hype vs. Reality

17:00-20:00 January 28

Natural Language Processing in Finance

09:10-09:45 January 29 · with Armando Gonzalez

Health Search and Machine-Learned Epidemiology

09:25-09:45 January 29 · with Evgeniy Gabrilovich

Let them speak: machine learning boosts language rehabilitation training after stroke

11:12-11:34 January 29 · with Michael Tangermann, David Hübner

What's My Disease? Natural Language Processing and Deep Learning for Medical Diagnosis Prediction

11:58-12:20 January 29 · with Tomas Dikk, Gabriel Krummenacher, Matthias Kämpf

AI & Language track

The language-focused track will take place 13:30 to 17:00 on January 28.

Schedule and links to presentations

Learning representations with self-attention

13:30-13:45 January 28 · with Jakob Uszkoreit

How well can text representations address lexical composition?

13:45-14:00 January 28 · with Vered Shwartz

Out-of-distribution detection for neural NLP models

14:00-14:10 January 28 · with Hrant Khachatrian

Chargrid: towards understanding 2D documents

14:10-14:20 January 28 · with Christian Reisswig

Panel: representations, interpretability & visualisation

14:20-14:40 January 28 · with Jakob Uszkoreit, Vered Shwartz, Hrant Khachatrian, Christian Reisswig

Explore: research suggestions at your fingertips

14:40-14:50 January 28 · with Richard Zens

Practical transfer learning for NLP with spaCy and Prodigy

14:50-15:00 January 28 · with Ines Montani

Coffee break

15:00-15:20 January 28

Large contexts in neural machine translation

15:20-15:30 January 28 · with Andrei Popescu-Belis

Interactive and adaptive translation for professionals

15:30-15:40 January 28 · with Joern Wuebker

Near real-time multilingual customer service

15:40-15:50 January 28 · with João Graça

Panel: machine translation

15:50-16:00 January 28 · with Andrei Popescu-Belis, João Graça, Joern Wuebker

Coffee break

16:00-16:10 January 28

Towards breaking the closed-world assumption in deep neural networks

16:10-16:20 January 28 · with Michele Sama

Enabling speech-to-meaning with acoustic language processing

16:20-16:30 January 28 · with Nicolas Perony

Building a live recommendation agent for communication in healthcare

16:30-16:40 January 28 · with Lars Maaløe

Panel: products & startups

16:40-17:00 January 28 · with Nicolas Perony, Lars Maaløe, João Graça, Michele Sama, Joern Wuebker, Ines Montani