Open AccessMultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
Author(s) -
Yao Dou,
Maxwell Forbes,
Ari Holtzman,
Yejin Choi
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.v35i14.17510
Subject(s) - dialog box , computer science , conversation , natural language processing , bipartite graph , artificial intelligence , branching (polymer chemistry) , set (abstract data type) , testbed , task (project management) , theory of computation , matching (statistics) , continuation , graph , theoretical computer science , programming language , communication , world wide web , psychology , mathematics , statistics , materials science , management , economics , composite material
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