Knowledge Graph Question Answering NLP Tools
End-to-end QA systems built on knowledge graphs, including entity recognition, linking, and SPARQL/Cypher query generation. Does NOT include general QA systems without explicit knowledge graph construction, semantic parsing without KG backing, or standalone knowledge graph visualization tools.
There are 32 knowledge graph question answering tools tracked. The highest-rated is abachaa/MedQuAD at 47/100 with 444 stars.
Get all 32 projects as JSON
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| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
abachaa/MedQuAD
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites |
|
Emerging |
| 2 |
medmcqa/medmcqa
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset... |
|
Emerging |
| 3 |
shawnh2/QA-CivilAviationKG
基于民航业知识图谱的自动问答系统 |
|
Emerging |
| 4 |
YeYzheng/KGQA-Based-On-medicine
基于医药知识图谱的智能问答系统 |
|
Emerging |
| 5 |
chizhu/KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统 |
|
Emerging |
| 6 |
Joforde/Shukongdashi
使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统 |
|
Emerging |
| 7 |
pen-ho/medical_knowledge_graph_app-master
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-... |
|
Emerging |
| 8 |
simhag/Compositional-Pre-Training-for-Semantic-Parsing-with-BERT
Implementation of Semantic Parsing with BERT and compositional pre-training... |
|
Emerging |
| 9 |
AhmedAbouzaid1/Medical-Question-Answering-System
Medical Question Answering System. |
|
Emerging |
| 10 |
carlos9310/Spring-Boot-KBQA
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。 |
|
Emerging |
| 11 |
abachaa/MEDIQA2019
Challenge on Textual Inference and Question Entailment in the Medical Domain... |
|
Emerging |
| 12 |
abachaa/Existing-Medical-QA-Datasets
Multimodal Question Answering in the Medical Domain: A summary of Existing... |
|
Emerging |
| 13 |
milangritta/Pragmatic-Guide-to-Geoparsing-Evaluation
Full resources supporting the publication "A Pragmatic Guide to Geoparsing... |
|
Emerging |
| 14 |
tomsherborne/geoquery-src
A mirror of the original GeoQuery info site |
|
Emerging |
| 15 |
jiangnanboy/movie_kg
基于知识图谱的电影智能问答。neo4j构建电影图谱,spark ml完成问答意图分类,将问答语句转为cypher查询语句完成匹配查询。 |
|
Emerging |
| 16 |
YukiChen-yuxin/Design-and-implementation-of-a-task-based-Q-A-system-based-on-TCM-knowledge-graph
Cleanse the data of "Compendium of Materia Medica" as the full-text data... |
|
Emerging |
| 17 |
boostcampaitech3/level2-klue-level2-nlp-09
네이버 부스트캠프 | KLUE Relation Extraction(RE) |
|
Experimental |
| 18 |
boostcampaitech3/level2-data-annotation_nlp-level2-nlp-09
네이버 부스트캠프 | '러시아-우크라이나 전쟁' 키워드로 Relation Extraction(RE) Task 데이터 제작 |
|
Experimental |
| 19 |
Judenpech/MLEC-QA
Data and baseline code of EMNLP 2021 paper "MLEC-QA: A Chinese Multi-Choice... |
|
Experimental |
| 20 |
boostcampaitech2/klue-level2-nlp-09
[2nd] KLUE Relation Extraction Competition |
|
Experimental |
| 21 |
wangjiezju1988/kgqa
1.4亿通用知识图谱问答 |
|
Experimental |
| 22 |
simula/ImageCLEFmed-MEDVQA-GI-2025
🔬Challenge on VQA and synthetic GI images for enhanced diagnostic AI | 🌐... |
|
Experimental |
| 23 |
Alexzhuan/awesome-kbqa
🤡 An up-to-date & curated list of awesome KBQA papers, methods & resources. |
|
Experimental |
| 24 |
interact-erc/GEO-Aligned
GeoQuery with word alignment information |
|
Experimental |
| 25 |
ju-resplande/askD
AskDocs: A medical QA dataset |
|
Experimental |
| 26 |
themoonoutofhaze/MedQA-NLI
MedQA-NLI is a comprehensive medical reasoning dataset comprising 42,889... |
|
Experimental |
| 27 |
edwinthomas444/knowledge-graph-question-answering
Implementation of Amazon Alexa - E2E Entity Resolution and Question Answering |
|
Experimental |
| 28 |
d1egoprog/FastKGQA
Paper showcase for a fast QA method using OpenIE appoaches and embedding... |
|
Experimental |
| 29 |
alizangeneh/geosemantic-qa
A research-style Python project for geographic question answering: natural... |
|
Experimental |
| 30 |
bansal-yash/TerraQuery-Natural-Language-Interpretation-of-Satellite-Imagery
Full code and experimentation of InterIIT 14.0 GeoNLI Challenge on Natural... |
|
Experimental |
| 31 |
jlscheerer/kgqa
QirK: Question Answering via Intermediate Representation on Knowledge Graphs |
|
Experimental |
| 32 |
ohsuz/Relation-Extraction-Competition
Naver Boostcamp AI Tech Stage 2 Competition : Relation Extraction |
|
Experimental |