xiaofei05 / Distant-Supervised-Chinese-Relation-Extraction
基于远监督的中文关系抽取
☆384Updated 3 years ago
Alternatives and similar repositories for Distant-Supervised-Chinese-Relation-Extraction:
Users that are interested in Distant-Supervised-Chinese-Relation-Extraction are comparing it to the libraries listed below
- 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.☆313Updated 4 years ago
- 基于BI-LSTM+CRF的中文命名实体识别 Pytorch☆388Updated last year
- 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。☆286Updated 5 years ago
- ChineseNER based on BERT, with BiLSTM+CRF layer☆448Updated 3 years ago
- Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER☆330Updated 5 years ago
- 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。☆309Updated last year
- 中文知识库问答代码,CCKS2019 CKBQA评测第四名解决方案☆476Updated 3 years ago
- 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。☆288Updated 5 years ago
- 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。☆318Updated last year
- 基于BERT的中文命名实体识别☆393Updated 5 years ago
- 使用预训练语言模型ALBERT做中文NER☆473Updated 4 years ago
- CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案☆410Updated last year
- 中文关系抽取☆136Updated 6 years ago
- Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresp…☆347Updated 5 years ago
- 2019年百度的三元组抽取比赛,“科学空间队”源码☆767Updated 4 years ago
- distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取☆499Updated 4 years ago
- 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
- Source code for ACL 2019 paper "Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge"☆270Updated 5 years ago
- Reject complicated operations for incorporating lexicon for Chinese NER.☆436Updated 3 years ago
- 中文实体关系抽取,pytorch,bilstm+attention☆760Updated 3 years ago
- Named Recognition Entity based on BERT and CRF 基于BERT+CRF的中文命名实体识别☆183Updated 2 years ago
- 中文关系抽取☆456Updated last year
- CCKS2019中文命名实体识别任务。从医疗文本中识别疾病和诊断、解剖部位、影像检查、实验室检验、手术和药物6种命名实体。现已实现基于jieba和AC自动机的baseline构建、基于BiLSTM和CRF的序列标住模型构建。bert的部分代码主要源于https://gith…☆351Updated 2 years ago
- KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.☆317Updated 6 years ago
- 实体识别和关系抽取的联合模型☆123Updated 6 years ago
- 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☆217Updated 4 years ago
- ccks baidu entity link 实体链接 第一名☆844Updated last year
- SEBERTNets:一种面向金融领域的事件主体抽取方法☆193Updated 2 years ago
- using bilstm-crf,bert and other methods to do sequence tagging task☆414Updated last year
- An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain an…☆924Updated 2 years ago