Question Answering
michiyasunaga/qagnn
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs π€
π€ Language Models
PythonMITupdated Mar 12, 2023
π #1,657 overall#68 of 180 in Question Answering
THUDM /CogQA
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
$ git clone https://github.com/THUDM/CogQA.gitStars
457
457
Forks
80
80
Language
Python
License
MIT
Created
May 29, 2019
7.3 years old
Last push
Mar 31, 2023
Categories
GitHub topics
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