Ask No More: Deciding when to guess in referential visual dialogue

Open Access
Authors
Publication date 2018
Host editors
  • E.M. Bender
  • L. Derczynski
  • P. Isabelle
Book title The 27th International Conference on Computational Linguistics
Book subtitle COLING 2018 : proceedings of the conference : August 20-26, 2018, Santa Fe, New Mexico, USA
ISBN (electronic)
  • 9781948087506
Event 27th International Conference on Computational Linguistics
Pages (from-to) 1218-1233
Publisher Association for Computational Linguistics
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Our goal is to explore how the abilities brought in by a dialogue manager can be included in end-to-end visually grounded conversational agents. We make initial steps towards this general goal by augmenting a task-oriented visual dialogue model with a decision-making component that decides whether to ask a follow-up question to identify a target referent in an image, or to stop the conversation to make a guess. Our analyses show that adding a decision making component produces dialogues that are less repetitive and that include fewer unnecessary questions, thus potentially leading to more efficient and less unnatural interactions.
Document type Conference contribution
Language English
Published at https://aclweb.org/anthology/C18-1104/
Downloads
C18-1104 (Final published version)
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