Alternatives and similar repositories for Relation-extraction

Users that are interested in Relation-extraction 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 6 years ago
• GaoQ1 / Chinese-relation-extraction
  Relation Extraction 中文关系提取
  ☆73Updated 6 years ago
• currylym / entity_linking
  实体链接demo
  ☆65Updated 6 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 6 years ago
• benkang-chen / Event-Extraction
  事件抽取相关算法汇总
  ☆125Updated 6 years ago
• Luka0612 / JEAR
  Joint Extraction of Entity Mentions and Relations without Dependency Trees
  ☆18Updated 7 years ago
• XingyanLee / Chinese-NER
  bilstm _Attention_crf
  ☆37Updated 6 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 / IE-Bert-CNN
  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) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDem…
  ☆187Updated 6 years ago
• swy0915 / BERT-BiLSTM-CRF-NER
  ☆17Updated 6 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 6 years ago
• hendrydong / Chinese-Event-Extraction
  ☆91Updated 7 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
• songlei1994 / ccks2018
  CCKS 2018 开放领域的中文问答任务 1st 解决方案
  ☆110Updated 6 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)
  ☆136Updated 2 years ago
• bojone / kg-2019-baseline
  2019年百度的三元组抽取比赛，一个baseline
  ☆208Updated 6 years ago
• liushaoweihua / keras-bert-ner
  Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALB…
  ☆12Updated 2 years ago
• wangbq18 / Joint-BERT-KBQA
  端到端的基于知识图谱的问答系统，分为实体识别和关系分类两部，在BERT基础上做多任务联合训练。
  ☆30Updated 5 years ago
• caldreaming / CAIL
  法研杯CAIL2019阅读理解赛题参赛模型
  ☆42Updated 5 years ago
• lvjianxin / Relationship-extraction
  中文关系抽取
  ☆136Updated 6 years ago
• tyistyler / Bert-Chinese-RE
  bert实现中文关系抽取
  ☆17Updated 2 years ago
• percent4 / ccks_triple_extract
  限定领域的三元组抽取的一次尝试，本文将会介绍笔者在2019语言与智能技术竞赛的三元组抽取比赛方面的一次尝试。
  ☆133Updated 2 years ago
• real-brilliant / bert_chinese_pytorch
  bert for chinese text classification
  ☆142Updated 6 years ago
• X-jun-0130 / Easy_NER_biLSTM_CRF
  biLSTM_CRF 命名实体识别
  ☆52Updated 6 years ago
• realcactus / bert
  TensorFlow code and pre-trained models for BERT
  ☆58Updated 4 years ago
• liushaoweihua / Keras-Bert-Kbqa
  Keras solution of simple Knowledge-Based QA task with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT
  ☆21Updated 2 years ago
• 1780041410 / ccks_baidu_entity_link
  ccks_2019_百度实体链接技术比赛_第一名解决方案
  ☆57Updated 5 years ago
• bojone / el-2019
  2019年百度的实体链接比赛，“科学空间队”源码
  ☆110Updated 5 years ago
• circlePi / Bert_Chinese_Ner_pytorch
  Named Recognition Entity based on BERT and CRF 基于BERT+CRF的中文命名实体识别
  ☆184Updated 2 years ago
• circlePi / IDCNN-CRF-Pytorch
  迭代膨胀卷积命名实体抽取
  ☆45Updated 6 years ago