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bert_seq2seq

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pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。

usaddress

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:us: a python library for parsing unstructured United States address strings into address components

transformers-ner

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Pytorch-Named-Entity-Recognition-with-transformers

daguan_2019_rank9

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datagrand 2019 information extraction competition rank9

python-crfsuite

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A python binding for crfsuite

pydensecrf

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Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

parserator

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:bookmark: A toolkit for making domain-specific probabilistic parsers

Macropodus

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自然语言处理工具Macropodus,基于Albert+BiLSTM+CRF深度学习网络架构,中文分词,词性标注,命名实体识别,新词发现,关键词,文本摘要,文本相似度,科学计算器,中文数字阿拉伯数字(罗马数字)转换,中文繁简转换...

NER-LSTM-CRF

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

ner

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命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新