A bottom-up exploration ofthe dimensions of dialog state in spoken interaction

SIGDIAL 2012 - 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference

Volumn , Issue , 2012, Pages 198-206

  Ward, Nigel G ^a   Vega, Alejandro ^a  

^a University of Texas at El Paso   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOTTOM UP; COGNITIVE PROCESS; SPOKEN INTERACTION; TOPIC STRUCTURES;

EID: 84904645113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Plinio Barbosa. 2009. Detecting changes in speech expressivenessin participants of a radio program. In Interspeech,pages 2155-2158.
2. Anton Batliner, Jan Buckow, Richard Huber, VolkerWarnke, Elmar Noth, and Heinrich Niemann. 2001. Boiling down prosody for the classification of boundariesand accents in German and English. In Eurospeech,pages 2781-2784.
3. Yoshua Bengio, Rejean Ducharme, Pascal Vincent, andChristian Jauvin. 2003. A neural probabilistic languagemodel. Journal of Machine Learning Research,3:1137-1155.
4. Kristy Elizabeth Boyer, Eun Young Ha, Robert Phillips,Michael D. Wallis, Mladen A. Vouk, and James C. Lester. 2009. Inferring tutorial dialogue structurewith hidden Markov modeling. In Proc. NAACL-HLTWorkshop on Innovative Uses of NLP for Building EducationalApplications, pages 19-26.
5. Harry Bunt. 2011. Multifunctionality in dialogue. ComputerSpeech and Language, 25:222-245.
6. Sasha Calhoun, Jean Carletta, Jason M. Brenier, NeilMayo, Dan Jurafsky, et al. 2010. The NXT-formatSwitchboard corpus: a rich resource for investigatingthe syntax, semantics, pragmatics and prosody of dialogue. Language Resources and Evaluation, 44:387-419.
7. Marcela Charfuelan and Marc Schroeder. 2011. Investigatingthe prosody and voice quality of social signalsin scenario meetings. In Proc. Affective Computingand Intelligent Interaction.
8. Milica Gasic and Steve Young. 2011. Effective handlingof dialogue state in the hidden information statePOMDP-based dialogue manager. ACM Transactionson Speech and Language Processing, 7.
9. J. J. Godfrey, E. C. Holliman, and J. McDaniel. 1992. Switchboard: Telephone speech corpus for researchand development. In Proceedings of ICASSP, pages517-520.
10. Martijn Goudbeek and Klaus Scherer. 2010. Beyondarousal: Valence and potency/control cues in the vocalexpression of emotion. Journal of the AcousticalSociety of America, 128:1322-1336.
11. John Grothendieck, Allen L. Gorin, and Nash M. Borges. 2011. Social correlates of turn-taking style. ComputerSpeech and Language, 25:789-801.
12. Michelle Gubian, Francesco Cangemi, and Lou Boves. 2010. Automatic and data driven pitch contour manipulationwith functional data analysis. In SpeechProsody.
13. Dan Jurafsky, Rajesh Ranganath, and Dan McFarland. 2012. Detecting friendly, flirtatious, awkward, and assertivespeech in speed-dates. Computer Speech andLanguage, in press.
14. Chul Min Lee and Shrikanth Narayanan. 2005. Towarddetecting emotions in spoken dialogs. IEEE Transactionson Speech and Audio Processing, 13:293-303.
15. Cheongjae Lee, Sangkeun Jung, Kyungduk Kim, andGary Geunbae Lee. 2009. Automatic agenda graphconstruction from human-human dialogs using clusteringmethod. In Proc. NAACL-HLT 2009: Short Papers,pages 89-92.
16. Fabrice Lefevre and Renato de Mori. 2007. Unsupervisedstate clustering for stochastic dialog management. In ASRU, pages 550-553.
17. Scott McGlashan, Daniel C. Burnett, et al. 2010. Voiceextensible markup language (VoiceXML) 3.0. Technicalreport, W3C.
18. Hartmut R. Pfitzinger. 2008. Segmental effects onthe prosody of voice quality. In Acoustics'08, pages3159-3164.
19. Elizabeth Shriberg and Andreas Stolcke. 2004. Prosodymodeling for automatic speech recognition and understanding. In Mathematical Foundations of Speechand Language Processing, IMA Volumes in Mathematicsand Its Applications, Vol. 138, pages 105-114. Springer-Verlag.
20. Svetlana Stoyanchev and Amanda Stent. 2012. Concepttype prediction and responsive adaptation in a dialoguesystem. Dialogue and Discourse, 3.
21. Yla R. Tausczik and James W. Pennebaker. 2010. Thepsychological meaning of words: Liwc and computerizedtext analysis methods. Journal of Language andSocial Psychology, 29:24-54.
22. Joel R. Tetreault and Diane J. Litman. 2006. Comparingthe utility of state features in spoken dialogue usingreinforcement learning. In HLT-NAACL, pages 272-279.
23. David Traum and S. Larsson. 2003. The informationstate approach to dialogue management. In Janvan Kuppevelt and Ronnie Smith, editors, Currentand New Directions in Discourse and Dialogue, pages325-353. Kluwer.
24. Nigel G.Ward and Alejandro Vega. 2012, submitted. Towardsempirical dialog-state modeling and its use inlanguage modeling. In Interspeech.
25. Nigel G. Ward, Alejandro Vega, and Timo Baumann. 2011. Prosodic and temporal features for languagemodeling for dialog. Speech Communication, 54:161-174.
26. Nigel G. Ward, David G. Novick, and Alejandro Vega. 2012, submitted. Where in dialog space does uh-huhoccur? In Interdisciplinary Workshop on FeedbackBehaviors in Dialog at Interspeech 2012.