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

🤖 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）。

OpenKS - 领域可泛化的知识学习与计算引擎

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.

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

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

1.4亿通用知识图谱问答

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

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"

The code of An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering

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

Python client for ZeroLink

A dataset with KGQA results verbalization

Machine-generated KGQA dataset for DBLP scholarly knowledge graph