基于医药知识图谱的智能问答系统

基于知识图谱的《红楼梦》人物关系可视化及问答系统

Insightful Tutorials and Papers about Knowledge Graphs

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）。

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

OpenKS - 领域可泛化的知识学习与计算平台

You can find the most recent KGQA benchmark numbers from publications here.

Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"

Explainable complex question answering over RDF files via Llama Index.

[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs

一个关于血色衣冠的对话机器人， 基于 Rasa, 可语音与机器人对话

[EMNLP Findings 2022] ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs

基于大模型 RAG 知识库与知识图谱的问答平台。Llamaindex + VueJS + Flask + Neo4j。大模型适配 OpenAI、国内主流大模型平台的模型调用、本地 vllm 部署。

1.4亿通用知识图谱问答

Dataset Resplitting for Generalization in KGQA. See also https://github.com/semantic-systems/KGQA-datasets

Code and notebooks and data for the paper "Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models"

MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs

A dataset with KGQA results verbalization

基于知识图谱的问答系统

Machine-generated KGQA dataset for DBLP scholarly knowledge graph