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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）。

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

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

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

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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。

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Python version Aho-Corasic Automaton.

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