alizangeneh/geosemantic-qa

A research-style Python project for geographic question answering: natural language questions are mapped to explicit semantic representations and executed over a geographic knowledge graph, with rule-based parsing, evaluation metrics, and error analysis.

15
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

—

Category

knowledge-graph-question-answering

Last pushed

Dec 13, 2025

Commits (30d)

0

GitHub
Knowledge Graph Question Answering · 32 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/alizangeneh/geosemantic-qa"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

abachaa/MedQuAD

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

47

medmcqa/medmcqa

A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address...

44

shawnh2/QA-CivilAviationKG

基于民航业知识图谱的自动问答系统

44

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

43

YeYzheng/KGQA-Based-On-medicine

基于医药知识图谱的智能问答系统

43

Explore NLP Tools

All categories Trending NLP directory Insights