smilelight / lightKG
基于Pytorch和torchtext的知识图谱深度学习框架。
☆613Updated 4 years ago
Alternatives and similar repositories for lightKG:
Users that are interested in lightKG are comparing it to the libraries listed below
- 爬取百度百科中文页面,抽取三元组信息,构建中文知识 图谱☆945Updated 4 years ago
- ChinesePersonRelationGraph, person relationship extraction based on nlp methods.中文人物关系知识图谱项目,内容包括中文人物关系图谱构建,基于知识库的数据回标,基于远程监督与bootstrappi…☆914Updated 6 years ago
- 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
- 中文实体关系抽取,pytorch,bilstm+attention☆760Updated 3 years ago
- 中文知识库问答代码,CCKS2019 CKBQA评测第四名解决方案☆477Updated 4 years ago
- A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph,本项目…☆1,206Updated 6 years ago
- 基于远监督的中文关系抽取☆384Updated 3 years ago
- 基于知识图谱的问答系统,BERT做命名实体识别和句子相似度,分为online和outline模式☆1,469Updated 3 years ago
- Bulding kg from 0☆760Updated 4 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
- 2019年百度的三元组抽取比赛,“科学空间队”源码☆768Updated 4 years ago
- self summary after attending 2018全国知识图谱与语义计算大会,China Conference on Knowledge Graph and Semantic Computing☆241Updated 6 years ago
- 对知识库Wikidata的爬虫以及数据处理脚本 将三元组关系对齐到语料库的脚本 获取知识图谱数据的脚本☆271Updated 3 years ago
- 基于neo4j肝病知识图谱的问答系统☆372Updated 5 years ago
- Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge …☆1,230Updated 4 years ago
- 中文医学知识图谱命名实体识别,包括bi-LSTM+CRF,transformer+CRF等模型☆245Updated 5 years ago
- 基于知识图谱的问答☆302Updated 7 years ago
- 农业领域知识图谱的构建,包括数据爬取(百度百科)、数据分类、利用结构化数据生成三元组、非结构化数据的分句(LTP),分词(jieba),命名实体识别(LTP)、基于依存句法分析(主谓关系等)的关系抽取和利用neo4j生成可视化知识图谱☆249Updated 5 years ago
- ccks baidu entity link 实体链接 第一名☆845Updated last year
- 豆瓣书籍,电影类别的知识图谱问答系统☆264Updated 4 years ago
- 知识图谱车音工作项目☆250Updated 7 years ago
- A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱…☆316Updated 6 years ago
- Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.☆533Updated 5 years ago
- 开放中文知识图谱的schema☆821Updated 2 years ago
- 使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统☆748Updated 5 years ago
- 基于BERT的中文命名实体识别☆393Updated 5 years ago
- Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER☆330Updated 5 years ago
- 使用预训练语言模型BERT做中文NER☆951Updated 5 years ago
- 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
- 基于知识库的问答:seq2seq模型实践☆356Updated 4 years ago