自然语言处理、知识图谱、对话系统三大技术研究与应用。
-
Updated
May 21, 2023
自然语言处理、知识图谱、对话系统三大技术研究与应用。
🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Question answering over Freebase (single-relation)
A collection of some materials of knowledge graph question answering
Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"
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)。
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM 2021.
Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"
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)
Add a description, image, and links to the kbqa topic page so that developers can more easily learn about it.
To associate your repository with the kbqa topic, visit your repo's landing page and select "manage topics."