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

Ravi Shekhar, Tim Baumgärtner, Aashish Venkatesh, Elia Bruni, Raffaella Bernardi, Raquel Fernandez


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.
Anthology ID:
C18-1104
Volume:
Proceedings of the 27th International Conference on Computational Linguistics
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Editors:
Emily M. Bender, Leon Derczynski, Pierre Isabelle
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1218–1233
Language:
URL:
https://aclanthology.org/C18-1104
DOI:
Bibkey:
Cite (ACL):
Ravi Shekhar, Tim Baumgärtner, Aashish Venkatesh, Elia Bruni, Raffaella Bernardi, and Raquel Fernandez. 2018. Ask No More: Deciding when to guess in referential visual dialogue. In Proceedings of the 27th International Conference on Computational Linguistics, pages 1218–1233, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
Ask No More: Deciding when to guess in referential visual dialogue (Shekhar et al., COLING 2018)
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PDF:
https://preview.aclanthology.org/landing_page/C18-1104.pdf
Data
GuessWhat?!