ChineseNLP icon indicating copy to clipboard operation
ChineseNLP copied to clipboard

Datasets, SOTA results of every fields of Chinese NLP

Chinese NLP

Shared tasks, datasets and state-of-the-art results for Chinese Natural Language Processing (NLP)

Table of Tasks

  • Co-reference Resolution
  • Constituency Parsing
  • Dialogue State Management
  • Emotion Classification
  • Entity Linking
  • Entity Tagging
  • Language Modeling
  • Machine Translation
  • Multi-task Learning
  • Part-of-Speech (POS) Tagging
  • Question Answering
  • Relation Extraction
  • Sentiment Analysis
  • Simplified/Traditional Conversion
  • Spell Correction
  • Text Summarization
  • Topic Classification
  • Transliteration
  • Word Embedding
  • Word Segmentation

Besides Chinese NLP

To track more progress in Natural Language Processing (NLP) in English and other languages, you can check NLP-progress, which includes the datasets and the current state-of-the-art for the most common NLP tasks.

What's new!

We have a new shared task at this year's WMT titled "Triangular MT: Using English to improve Russian-to-Chinese machine translation". We would encourage you to participate in this shared task.

More details of the shared task is present at http://www.statmt.org/wmt21/triangular-mt-task.html

Please pass on the pointer to any of your colleagues and friends who might be interested in participating.

Important Dates

  • Apr 5, 2021: Release of training and development resources
  • Apr 5, 2021: Release of the baseline system
  • Jul 12, 2021: Release of test data
  • Jul 19, 2021: Official submissions due by web upload
  • Jul 20, 2021: Release of the official results
  • Aug 5, 2021: System description paper due
  • Sep 5, 2021: Review feedback
  • Sep 15, 2021: Camera-ready papers due
  • Nov 10-11, 2021: Workshop

Contribute

Want to contribute? Please follow the Instructions

Contact

Suggestions? Changes? Please send email to [email protected]

Note

This project is initiated and actively maintained by DiDi NLP team under DiDi AI Labs.