howl-anderson / Seq2annotation
Licence: apache-2.0
基于 TensorFlow & PaddlePaddle 的通用序列标注算法库（目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。
Stars: ✭ 70
Programming Languages
python
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seq2annotation
基于 TensorFlow & PaddlePaddle 的通用序列标注算法库（目前包含 BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。
特色
- 通用的序列标注：能够解决通用的序列标注问题：分词、词性标注和实体识别仅仅是特例。
- Tag schema free: 你可以选择你想用的任何 Tagset。依赖于 tokenizer_tools 提供的编码、解码功能
TODO
- current TF Metrics is not launch on pypi, but seq2annotation depends on it, so seq2annotation currently can't packaged as python package on pypi
More Algorithms To Do
- https://www.cnblogs.com/Determined22/p/7238342.html
- http://www.davidsbatista.net/blog/2018/05/09/Named_Entity_Evaluation/
- http://www.voidcn.com/article/p-kvrmknrl-bgh.html
Credits
- 深受 Guillaume Genthial 的 tf_ner 项目的影响
增加 NER 评估方案
From http://www.davidsbatista.net/blog/2018/05/09/Named_Entity_Evaluation/
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