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

• 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

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.

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 https://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

Want to contribute? Please follow the Instructions

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

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