pytorch roberta token-classification zh transformers chinese classical chinese literary chinese ancient chinese bert quotation detection license:apache-2.0 autotrain_compatible
---
language: 
- "zh"
thumbnail: "https://user-images.githubusercontent.com/9592150/97142000-cad08e00-179a-11eb-88df-aff9221482d8.png"
tags:
- "chinese"
- "classical chinese"
- "literary chinese"
- "ancient chinese"
- "bert"
- "pytorch"
- "quotation detection"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "子曰学而时习之不亦说乎有朋自远方来不亦乐乎人不知而不愠不亦君子乎有子曰其为人也孝弟而好犯上者鲜矣不好犯上而好作乱者未之有也君子务本本立而道生孝弟也者其为仁之本与子曰巧言令色鲜矣仁曾子曰吾日三省吾身为人谋而不忠乎与朋友交而不信乎传不习乎子曰道千乘之国敬事而信节用而爱人使民以时"
---

# Guwen Quote

A Classical Chinese Quotation Detector.

Note: There are some problems with decoding using the default sequence classification model. Use the CRF model to achieve the best results. CRF related code please refer to
[Guwen Models](https://github.com/ethan-yt/guwen-models).

See also: 

<a href="https://github.com/ethan-yt/guwen-models">
  <img align="center" width="400" src="https://github-readme-stats.vercel.app/api/pin/?username=ethan-yt&repo=guwen-models&bg_color=30,e96443,904e95&title_color=fff&text_color=fff&icon_color=fff&show_owner=true" />
</a>
<a href="https://github.com/ethan-yt/cclue/">
  <img align="center" width="400" src="https://github-readme-stats.vercel.app/api/pin/?username=ethan-yt&repo=cclue&bg_color=30,e96443,904e95&title_color=fff&text_color=fff&icon_color=fff&show_owner=true" />
</a>
<a href="https://github.com/ethan-yt/guwenbert/">
  <img align="center" width="400" src="https://github-readme-stats.vercel.app/api/pin/?username=ethan-yt&repo=guwenbert&bg_color=30,e96443,904e95&title_color=fff&text_color=fff&icon_color=fff&show_owner=true" />
</a>