Open AccessSciTaiL: A Textual Entailment Dataset from Science Question Answering
Author(s) -
Tushar Khot,
Ashish Sabharwal,
Peter E. Clark
Publication year - 2018
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.12022
Subject(s) - logical consequence , textual entailment , natural language processing , computer science , premise , artificial intelligence , question answering , task (project management) , set (abstract data type) , similarity (geometry) , class (philosophy) , linguistics , programming language , philosophy , management , economics , image (mathematics)