Mutual Reinforcement Effect

Universal Sentiment Analysis (USA Model)

General Information Extraction Large Language Model (GIELLM)

Open-domain Information Extraction Large Language Model (OIELLM)

MMM: Multilingual Mutual Reinforcement Effect Mix Datasets

Model and Dataset. You can find in HuggingFace[https://huggingface.co/ganchengguang/OIELLM-8B-Instruction].

This is train and evaluation code.

The project's website under construction, not yet completed. You can try dataset and model first please.

Let me conclude by thanking the contributors to the MMM dataset for contributing the fundamental dataset. And the pioneering researchers who selflessly contributed.

1. Japanese Wikipedia NER dataset Takahiro Omi https://github.com/stockmarkteam/ner-wikipedia-dataset

2. JGLUE: Japanese General Language Understanding Evaluation Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata https://github.com/yahoojapan/JGLUE?tab=readme-ov-file

3. livedoor news corpus 関口宏司 https://www.rondhuit.com/download.html

4. UniversalNER Wenxuan Zhou https://arxiv.org/abs/2308.03279

This webpage fork from https://github.com/nerfies/nerfies.github.io. Thank for they contribution.

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