#自然语言处理#基于医药知识图谱的智能问答系统
#Awesome#Insightful Tutorials and Papers about Knowledge Graphs
#自然语言处理#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)。
#计算机科学#🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
You can find the most recent KGQA benchmark numbers from publications here.
#大语言模型#Official code of the paper "SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation"
[EMNLP Findings 2022] ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs
Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
#大语言模型#Explainable complex question answering over RDF files via Llama Index.
Dataset Resplitting for Generalization in KGQA. See also https://github.com/semantic-systems/KGQA-datasets
#大语言模型#[WWW 2025] Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
Code and notebooks and data for the paper "Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models"
基于知识图谱的问答系统
MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs