Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States

Anthology ID:: W14-4324
Volume:: Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)
Month:: June
Year:: 2014
Address:: Philadelphia, PA, U.S.A.
Editors:: Kallirroi Georgila, Matthew Stone, Helen Hastie, Ani Nenkova
Venue:: SIGDIAL
SIG:: SIGDIAL
Publisher:: Association for Computational Linguistics
Note:
Pages:: 181–185
Language:
URL:: https://aclanthology.org/W14-4324
DOI:: 10.3115/v1/W14-4324
Bibkey:
Cite (ACL):: Diane Litman and Katherine Forbes-Riley. 2014. Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States. In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pages 181–185, Philadelphia, PA, U.S.A.. Association for Computational Linguistics.
Cite (Informal):: Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States (Litman & Forbes-Riley, SIGDIAL 2014)
Copy Citation:
PDF:: https://preview.aclanthology.org/nschneid-patch-3/W14-4324.pdf