Named Entity Recognition
lonePatient/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
🧠 Natural Language Processing
PythonMITupdated Mar 11, 2023
🏆 #2,768 overall#231 of 267 in Named Entity Recognition
jiangnanboy /albert_lstm_crf_ner
albert + lstm + crf实体识别，pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)
$ git clone https://github.com/jiangnanboy/albert_lstm_crf_ner.gitStars
136
136
Forks
32
32
Language
Python
License
None
Created
Oct 24, 2019
6.9 years old
Last push
Sep 11, 2022
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Named Entity Recognition
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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，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)
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基于pytorch的bert_bilstm_crf中文命名实体识别
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Data from GitHub · snapshot Sep 24, 2026