Lexical Acquisition through Implicit Confirmations over Multiple Dialogues

Kohei Ono, Ryu Takeda, Eric Nichols, Mikio Nakano, Kazunori Komatani


Abstract
We address the problem of acquiring the ontological categories of unknown terms through implicit confirmation in dialogues. We develop an approach that makes implicit confirmation requests with an unknown term’s predicted category. Our approach does not degrade user experience with repetitive explicit confirmations, but the system has difficulty determining if information in the confirmation request can be correctly acquired. To overcome this challenge, we propose a method for determining whether or not the predicted category is correct, which is included in an implicit confirmation request. Our method exploits multiple user responses to implicit confirmation requests containing the same ontological category. Experimental results revealed that the proposed method exhibited a higher precision rate for determining the correctly predicted categories than when only single user responses were considered.
Anthology ID:
W17-5507
Volume:
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Month:
August
Year:
2017
Address:
Saarbrücken, Germany
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
50–59
Language:
URL:
https://aclanthology.org/W17-5507
DOI:
10.18653/v1/W17-5507
Bibkey:
Cite (ACL):
Kohei Ono, Ryu Takeda, Eric Nichols, Mikio Nakano, and Kazunori Komatani. 2017. Lexical Acquisition through Implicit Confirmations over Multiple Dialogues. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 50–59, Saarbrücken, Germany. Association for Computational Linguistics.
Cite (Informal):
Lexical Acquisition through Implicit Confirmations over Multiple Dialogues (Ono et al., SIGDIAL 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/starsem-semeval-split/W17-5507.pdf