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  1. ACL 2019论文复现:Improving Multi-turn Dialogue Modelling with Utterance ReWriter

    Python 48 7

  2. An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

    Python 328 116

  3. 序列化标注工具,基于PyTorch实现BLSTM-CNN-CRF模型,CoNLL 2003 English NER测试集F1值为91.10%(word and char feature)。

    Python 300 82

  4. This code implements a simple CNN model for document classification with tensorflow.

    Python 150 78

  5. 使用python实现了一个简单的trie树结构,可增加/查找/删除关键词,用于中文文本的关键词匹配、停用词删除等。

    Python 40 13

  6. 整理了Stanford NLP的部分使用方法

    Python 21 6

86 contributions in the last year

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June 2020

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