Exploiting Machine-Transcribed Dialog Corpus to Improve Multiple Dialog States Tracking Methods

Sungjin Lee, Maxine Eskenazi


Anthology ID:
W12-1626
Volume:
Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
July
Year:
2012
Address:
Seoul, South Korea
Editors:
Gary Geunbae Lee, Jonathan Ginzburg, Claire Gardent, Amanda Stent
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
189–196
Language:
URL:
https://aclanthology.org/W12-1626
DOI:
Bibkey:
Cite (ACL):
Sungjin Lee and Maxine Eskenazi. 2012. Exploiting Machine-Transcribed Dialog Corpus to Improve Multiple Dialog States Tracking Methods. In Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 189–196, Seoul, South Korea. Association for Computational Linguistics.
Cite (Informal):
Exploiting Machine-Transcribed Dialog Corpus to Improve Multiple Dialog States Tracking Methods (Lee & Eskenazi, SIGDIAL 2012)
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PDF:
https://preview.aclanthology.org/add_acl24_videos/W12-1626.pdf