Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning

Joel Tetreault, Diane Litman


Anthology ID:
N06-1035
Volume:
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference
Month:
June
Year:
2006
Address:
New York City, USA
Editors:
Robert C. Moore, Jeff Bilmes, Jennifer Chu-Carroll, Mark Sanderson
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
272–279
Language:
URL:
https://aclanthology.org/N06-1035
DOI:
Bibkey:
Cite (ACL):
Joel Tetreault and Diane Litman. 2006. Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning. In Proceedings of the Human Language Technology Conference of the NAACL, Main Conference, pages 272–279, New York City, USA. Association for Computational Linguistics.
Cite (Informal):
Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning (Tetreault & Litman, NAACL 2006)
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PDF:
https://preview.aclanthology.org/ingest-2024-clasp/N06-1035.pdf