自然语言处理、知识图谱、对话系统三大技术研究与应用。
中文知识库问答代码，CCKS2019 CKBQA评测第四名解决方案
KgCLUE: 大规模中文开源知识图谱问答
A collection of some materials of knowledge graph question answering
🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
医药知识图谱自动问答系统实现，包括构建知识图谱、基于知识图谱的流水线问答...
NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序...
Question answering over Freebase (single-relation)
Pytorch implementation of baseline models of KQA Pro, a large-scale data...
Improving Multi-hop Knowledge Base Question Answering by Learning Interm...
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowl...
知识图谱初探，关系抽取，实体抽取，基于kb的问答，基于es的问答，知识图谱可...
以Spring Boot框架为载体，通过集成hanLP、neo4j、spark-mllib实现基于电影知...
Source code and data for our long paper (Wu et al., 2019)
COVID-2019 中文知识问答系统