Open AccessA Controllable Model of Grounded Response Generation
Author(s) -
Zeqiu Wu,
Michel Galley,
Chris Brockett,
Yizhe Zhang,
Xiang Gao,
Chris Quirk,
Rik Koncel-Kedziorski,
Jianfeng Gao,
Hannaneh Hajishirzi,
Mari Ostendorf,
Bill Dolan
Publication year - 2021
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.v35i16.17658
Subject(s) - computer science , conversation , transformer , language model , artificial intelligence , phrase , natural language processing , hallucinating , flexibility (engineering) , context (archaeology) , relevance (law) , machine learning , linguistics , philosophy , physics , statistics , mathematics , quantum mechanics , voltage , political science , law , biology , paleontology
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