https://github.com/crownpku/information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
https://github.com/crownpku/information-extraction-chinese

chinese-nlp information-extraction named-entity-recognition nlp relation-extraction

Last synced: 3 days ago
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Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

• Host: GitHub
• URL: https://github.com/crownpku/information-extraction-chinese
• Owner: crownpku
• Created: 2017-08-09T09:52:31.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2024-02-01T21:01:38.000Z (8 months ago)
• Last Synced: 2024-10-01T00:23:28.298Z (3 days ago)
• Topics: chinese-nlp, information-extraction, named-entity-recognition, nlp, relation-extraction
• Language: Python
• Homepage:
• Size: 78.9 MB
• Stars: 2,220
• Watchers: 91
• Forks: 814
• Open Issues: 121
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml

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README

        
# Information-Extraction-Chinese

Chinese information extraction, including named entity recognition, relation extraction and more, focused on state-of-art deep learning methods.

### To make clear, this project has several sub-tasks with detailed separate README.md.

#### [Chinese Relation Extraction by biGRU with Character and Sentence Attentions](https://github.com/crownpku/Information-Extraction-Chinese/tree/master/RE_BGRU_2ATT)

Details in folder RE_BGRU_2ATT/

#### [Chinese Named Entity Recognition by IDCNN/biLSTM with CRF layer](https://github.com/crownpku/Information-Extraction-Chinese/tree/master/NER_IDCNN_CRF)

Details in folder NER_IDCNN_CRF/

#### [Chinese Word Segmentation by Iterated Dilated Convolutions](https://github.com/hankcs/ID-CNN-CWS)

Details at [https://github.com/hankcs/ID-CNN-CWS](https://github.com/hankcs/ID-CNN-CWS)

## Reference

* [thunlp/Tensorflow-NRE](https://github.com/thunlp/TensorFlow-NRE)

* [zjy-ucas/ChineseNER](https://github.com/zjy-ucas/ChineseNER)

* [koth/kcws](https://github.com/koth/kcws)