xiaofei05 / Distant-Supervised-Chinese-Relation-Extraction

Related projects ⓘ

Alternatives and complementary repositories for Distant-Supervised-Chinese-Relation-Extraction

• zhengyima / kg-baseline-pytorch
  2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.
  ☆314Updated 4 years ago
• AlexYangLi / ccks2019_el
  CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案
  ☆411Updated last year
• yuanxiaosc / Schema-based-Knowledge-Extraction
  Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。
  ☆284Updated 5 years ago
• ProHiryu / albert-chinese-ner
  使用预训练语言模型ALBERT做中文NER
  ☆467Updated 3 years ago
• percent4 / people_relation_extract
  结合BERT+GRU+ATT模型，对自己收集的人物关系数据进行模型训练，用于人物关系抽取。
  ☆320Updated last year
• yumath / bertNER
  ChineseNER based on BERT, with BiLSTM+CRF layer
  ☆442Updated 3 years ago
• yanwii / ChinsesNER-pytorch
  基于BI-LSTM+CRF的中文命名实体识别 Pytorch
  ☆374Updated last year
• percent4 / spo_extract_platform
  本项目是利用深度学习技术来构建知识图谱方向上的一次尝试，作为开放领域的关系抽取，算是笔者的一次创新，目前在这方面的文章和项目都很少。
  ☆307Updated last year
• lvjianxin / Relationship-extraction
  中文关系抽取
  ☆136Updated 5 years ago
• CLOVEXCWZ / NER_DEMO
  中文命名实体识别NER。用keras实现BILSTM+CRF、IDCNN+CRF、BERT+BILSTM+CRF进行实体识别。结果当然是BERT+BILSTM+CRF最好啦。
  ☆284Updated 4 years ago
• EOA-AILab / NER-Chinese
  Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER
  ☆328Updated 5 years ago
• bojone / kg-2019
  2019年百度的三元组抽取比赛，“科学空间队”源码
  ☆766Updated 4 years ago
• yuanxiaosc / Multiple-Relations-Extraction-Only-Look-Once
  Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresp…
  ☆346Updated 5 years ago
• ShomyLiu / pytorch-relation-extraction
  distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
  ☆499Updated 4 years ago
• duterscmy / ccks2019-ckbqa-4th-codes
  中文知识库问答代码，CCKS2019 CKBQA评测第四名解决方案
  ☆479Updated 3 years ago
• xuanzebi / BERT-CH-NER
  基于BERT的中文命名实体识别
  ☆393Updated 5 years ago
• jkszw2014 / bert-kbqa-NLPCC2017
  A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践，代码可跑通）
  ☆269Updated 5 years ago
• buppt / ChineseNRE
  中文实体关系抽取，pytorch，bilstm+attention
  ☆753Updated 3 years ago
• benkang-chen / Event-Extraction
  事件抽取相关算法汇总
  ☆123Updated 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
  ☆181Updated last year
• thunlp / Chinese_NRE
  Source code for ACL 2019 paper "Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge"
  ☆269Updated 4 years ago
• v-mipeng / LexiconAugmentedNER
  Reject complicated operations for incorporating lexicon for Chinese NER.
  ☆437Updated 2 years ago
• hecongqing / CCKS2019_EventEntityExtraction_Rank5
  SEBERTNets：一种面向金融领域的事件主体抽取方法
  ☆193Updated 2 years ago
• WangShengguang / ccks-2020
  CCKS 2020：新冠知识图谱构建与问答评测（四）新冠知识图谱问答评测
  ☆215Updated 3 years ago
• taorui-plus / OpenNRE
  哈工大bert上fine turning ，中文人物关系抽取任务准确率0.97
  ☆118Updated 4 years ago
• WuHuRestaurant / xf_event_extraction2020Top1
  科大讯飞2020事件抽取挑战赛第一名解决方案&完整事件抽取系统
  ☆537Updated 3 years ago
• Jacen789 / relation-extraction
  中文关系抽取
  ☆436Updated last year
• 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 last year
• qiufengyuyi / sequence_tagging
  using bilstm-crf,bert and other methods to do sequence tagging task
  ☆414Updated last year
• panchunguang / ccks_baidu_entity_link
  ccks baidu entity link 实体链接 第一名
  ☆843Updated 11 months ago