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 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
Want to contribute? Please follow the Instructions
Suggestions? Changes? Please send email to chinesenlp.xyz@gmail.com
This project is initiated and actively maintained by DiDi NLP team under DiDi AI Labs.
