Information Navigation System with Discovering User Interests

Koichiro Yoshino, Yu Suzuki, Satoshi Nakamura


Abstract
We demonstrate an information navigation system for sightseeing domains that has a dialogue interface for discovering user interests for tourist activities. The system discovers interests of a user with focus detection on user utterances, and proactively presents related information to the discovered user interest. A partially observable Markov decision process (POMDP)-based dialogue manager, which is extended with user focus states, controls the behavior of the system to provide information with several dialogue acts for providing information. We transferred the belief-update function and the policy of the manager from other system trained on a different domain to show the generality of defined dialogue acts for our information navigation system.
Anthology ID:
W17-5542
Volume:
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Month:
August
Year:
2017
Address:
Saarbrücken, Germany
Editors:
Kristiina Jokinen, Manfred Stede, David DeVault, Annie Louis
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
356–359
Language:
URL:
https://aclanthology.org/W17-5542
DOI:
10.18653/v1/W17-5542
Bibkey:
Cite (ACL):
Koichiro Yoshino, Yu Suzuki, and Satoshi Nakamura. 2017. Information Navigation System with Discovering User Interests. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 356–359, Saarbrücken, Germany. Association for Computational Linguistics.
Cite (Informal):
Information Navigation System with Discovering User Interests (Yoshino et al., SIGDIAL 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-5542.pdf