Alternatives and similar repositories for NER-LOC:

Users that are interested in NER-LOC are comparing it to the libraries listed below

• cdjasonj / Joint-Entity-and-Relation-Extraction
  实现了一下multi-head-selection联合关系实体抽取
  ☆30Updated 5 years ago
• GaoQ1 / Chinese-relation-extraction
  Relation Extraction 中文关系提取
  ☆72Updated 6 years ago
• FuYanzhe2 / Relation-extraction
  关系抽取个人实战总结以及开源工具包使用
  ☆56Updated 6 years ago
• currylym / entity_linking
  实体链接demo
  ☆65Updated 6 years ago
• MarsRoger / albert_ner
  基于轻量级的albert实现albert+BiLstm+CRF
  ☆89Updated last year
• zjcanjux / daguan_ner_Bert_bilstm_crf
  达观算法比赛ner任务，从重新训练bert，到finetune预测。
  ☆75Updated 2 years ago
• cdjasonj / CCF_IE
  2019百度语言与智能技术竞赛信息抽取赛代5名代码
  ☆69Updated 5 years ago
• baiyyang / medical_ner_crfsuite
  基于条件随机场的医疗电子病例的命名实体识别
  ☆113Updated 7 years ago
• shiningliang / CCKS2019-IPRE
  CCKS2019-人物关系抽取
  ☆74Updated 5 years ago
• liuhuanyong / WordMultiSenseDisambiguation
  WordMultiSenseDisambiguation, chinese multi-wordsense disambiguation based on online bake knowledge base and semantic embedding similarit…
  ☆127Updated 6 years ago
• SeanLee97 / TripleIE
  依存句法实现关系三元组的自动抽取
  ☆99Updated 3 years ago
• cjymz886 / text_bert_cnn
  在bert模型的pre_training基础上进行text_cnn文本分类
  ☆78Updated 5 years ago
• Wangpeiyi9979 / InformationExtractionDemo
  一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 的简单Demo， 模型采用BERT+CNN ( https://github.com/Wangpeiyi9979/IE-Bert-CNN )。 Demo使用Fl…
  ☆125Updated 5 years ago
• hackerxiaobai / NER
  pytorch版的命名实体识别，LSTM和LSTM_CRF
  ☆25Updated 5 years ago
• XingyanLee / Chinese-NER
  bilstm _Attention_crf
  ☆37Updated 6 years ago
• benkang-chen / Event-Extraction
  事件抽取相关算法汇总
  ☆125Updated 5 years ago
• llcing / BiLSTM-CRF-ChineseNER.pytorch
  PyTorch implement of BiLSTM-CRF for Chinese NER
  ☆60Updated 6 years ago
• circlePi / IDCNN-CRF-Pytorch
  迭代膨胀卷积命名实体抽取
  ☆45Updated 5 years ago
• hendrydong / Chinese-Event-Extraction
  ☆91Updated 6 years ago
• Hyfred / Pytroch_NER_tutorial
  ☆38Updated 5 years ago
• 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)
  ☆137Updated 2 years ago
• AidenHuen / BERT-BiLSTM-CRF
  BERT-BiLSTM-CRF的Keras版实现
  ☆40Updated 5 years ago
• lvjianxin / Relationship-extraction
  中文关系抽取
  ☆136Updated 6 years ago
• xiaofei05 / Chinese-NER
  Chinese NER using BiLSTM/BERT + CRF
  ☆65Updated 3 years ago
• houking-can / BDCI2019-NER
  BDCI2019-互联网金融新实体发现-第7名（本可top3）
  ☆18Updated 5 years ago
• bojone / ee-2019-baseline
  面向金融领域的事件主体抽取（ccks2019），一个baseline
  ☆119Updated 5 years ago
• yeweiyangxinci / KBQA_AT4BERT
  基于知识库的问答系统。其中使用带注意力机制的对抗迁移学习做中文命名实体识别，使用BERT模型做句子相似度分析。
  ☆37Updated 5 years ago
• powerycy / Lic2020-
  lic2020关系抽取比赛，使用Pytorch实现苏神的模型。
  ☆101Updated 4 years ago
• eguilg / OpinioNet
  2019之江杯人工智能大赛电商评论观点挖掘赛道top3
  ☆45Updated 5 years ago
• aker218 / Baidu-2020-Language-and-Intelligent-Technology-Competition-Relation-Extraction-rank15
  2020语言与智能技术竞赛：关系抽取任务
  ☆65Updated 4 years ago