luopeixiang/named_entity_recognition
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
中文自然语言的实体抽取和意图识别(Natural Language Understanding),可选Bi-LSTM + CRF 或者 IDCNN + CRF
$ git clone https://github.com/GaoQ1/ner-slot_filling.git中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
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)
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
A PyTorch implementation of the BI-LSTM-CRF model.
Data from GitHub · snapshot Sep 24, 2026