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:
- 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)
- PDF:
- https://preview.aclanthology.org/naacl24-info/C18-1104.pdf
- Data
- GuessWhat?!