Exploiting word-level features for emotion prediction

2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings

Volumn , Issue , 2006, Pages 110-113

  Nicholas, Greg ^a   Rotaru, Mihai ^a   Litman, Diane J ^a  

^a University of Pittsburgh   (United States)

Author keywords

Feature extraction; Natural language interfaces; Pattern classification; Speech analysis

Indexed keywords

FORECASTING; KETONES; LINGUISTICS; SOFTWARE AGENTS; CLASSIFICATION (OF INFORMATION); HUMAN COMPUTER INTERACTION; SPEECH ANALYSIS; SPEECH PROCESSING;

CORPORA (CO); HUMAN COMPUTER; PRECISION AND RECALL; SPOKEN LANGUAGES;

QUERY LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS;

EMOTION PREDICTIONS; FEATURES EXTRACTION; HUMAN-COMPUTER DIALOGUES; LARGE CORPORA; NATURAL LANGUAGE INTERFACES; PATTERNS CLASSIFICATION; PRECISION AND RECALL; WORD COMBINATIONS; WORD LEVEL;

EID: 48749122207     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2006.326829     Document Type: Conference Paper

References (10)

1. J. Ang, R. Dhillon, A. Krupski, A. Shriberg, and A. Stolcke, "Prosody-based automatic detection of annoyance and frustration in human-computer dialog," Proceedings of ICSLP, 2002.
2. L. Devillers, L. Lamel, and I. Vasilescu, "Emotion Detection in Task-Oriented Spoken Dialogs," Proceedings of IEEE Int. Conference on Multimedia & Expo, 2003.
3. C. M. Lee, S. S. Narayanan, and R. Pieraccini, "Combining coustic and language information for emotion recognition," Proceedings of ICSLP, 2002.
4. H. Pon-Barry, K. Schultz, E. O. Bratt, B. Clark, and S. Peters, "Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems," International Journal of Artificial Intelligence in Education, vol. 16, pp. 171-194, 2006.
5. D. Litman and K. Forbes-Riley, "Predicting student emotions in computer-human tutoring dialogues," Proceedings of Assoc. for Computational Linguistics (ACL), 2004.
6. J. Liscombe, J. Hirschberg, and J. J. Venditti, "Detecting Certainness in Spoken Tutorial Dialogues," Proceedings of Interspeech, 2005.
7. M. Rotaru and D. Litman, "Using Word-level Pitch Features to Better Predict Student Emotions during Spoken Tutoring Dialogues," Proceedings of Interspeech, 2005.
8. A. Batliner, K. Fischer, R. Huber, J. Spilker, and E. Nöth, "How to Find Trouble in Communication," Speech Communication, vol. 40 (1-2), pp.117-143, 2003.
9. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java implementation. San Francisco, CA: Morgan Kaufmann, 1999.
10. K. VanLehn, P. W. Jordan, C. P. Rose, D. Bhembe, M. Bottner, A. Gaydos, M. Makatchev, U. Pappuswamy, M. Ringenberg, A. Roque, S. Siler, R. Srivastava, and R. Wilson, "The architecture of Why2-Atlas: A coach for qualitative physics essay writing," Proceedings of the Intelligent Tutoring Systems Conference, 2002.