supercoderhawk / Deepnlp
基于深度学习的自然语言处理库
Stars: ✭ 34
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深度学习工具库
本项目基于tensorflow，实现一些论文提出的基于深度学习的分词、命名实体识别和实体关系抽取模型。
本项目是在DNN_CWS的基础上进行开发。增加了实体关系抽取。
本项目目前有重构的计划
本项目迁移至DeepLearning_NLP，故本项目暂时停止维护
项目功能
- 中文分词
- 命名实体识别
- 实体关系抽取
依赖
- python >= 3.5
- tensorflow>=1.2.0
- matplotlib>=1.5.3
语料库
文件夹corpus下：
- pku_training.utf8、pku_test.utf8: sighan 2005 bakeoff 北大分词库
- msr_training.utf8、msr_test.utf8: sighan 2005 bakeoff 微软亚洲研究院分词库
- msr_ner_training.utf8: sighan 2006 bakeoff 微软亚洲研究院命名实体识别语料库
- semeval_relation.utf8: International Workshop on Semantic Evaluation (SemEval) 2010 task 8 关系抽取数据集
参考论文
中文分词 && 命名实体识别
-
deep learning for chinese word segmentation and pos tagging （已完全实现，文件
dnn.py） -
Long Short-Term Memory Neural Networks for Chinese Word Segmentation (完全实现，需要调参，文件
dnn.py) -
Max-Margin Tensor Neural Network for Chinese Word Segmentation （正在实现，文件
mmtnn.py）
实体关系抽取
TodoList
- [ ] 支持
pip
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