There are 19 repositories under kbqa topic.
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。
自然语言处理、知识图谱、对话系统三大技术研究与应用。
A collection of some materials of 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以及前端实现。实体识别(基于词典+BERT_CRF)、实体链接(Sentence-BERT做匹配)、意图识别(基于提问词+领域词词典)。
NLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文本生成 四大任务
Question answering over Freebase (single-relation)
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.
Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.
You can find the most recent KGQA benchmark numbers from publications here.
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases (AAAI 2020)
以Spring Boot框架为载体,通过集成hanLP、neo4j、spark-mllib实现基于电影知识图谱的简易问答系统。
Tensorflow implementation of CFO, a knowledge graph based QA system
A user-trainable Knowledge Base / FAQ Slack Bot on AWS SAM based on ChatGPT and Embeddings.
提供强大的NLP能力, low-code实现chatbot
Xiaode: a Knowledge Based Question Answering System with Speech IO