From language to thought: Inferring opinions and beliefs from verbal behavior

AISB'07: Artificial and Ambient Intelligence

Volumn , Issue , 2007, Pages 377-384

  De Rosis, Fiorella ^b   Novielli, Nicole ^a  

^a UNIVERSITY OF BARI   (Italy)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

LANGUAGE PROCESSING; SENTIMENT ANALYSIS;

ARTIFICIAL INTELLIGENCE;

SPEECH;

EID: 84860579860     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. J. Allwood (1981): Language beliefs and concepts. In Allwood, Fragsmyr, Hjort and Svedin (Eds): Natural Resources in a Cultural Perspective. FRN-Report 37, Stockholm.
2. P.R. Cohen and H.J. Levesque (1995). Communicative actions for artificial agents. Proceedings of the First International Conference on Multi-Agent Systems (ICMAS'95).
3. F. de Rosis, C. Castelfranchi, V. Carofiglio and R. Grassano (2003). Can Computers deliberately deceive? A simulation tool and its application to Turing's Imitation Game. Computational Intelligence, 19, 3.
4. F. de Rosis, N. Novielli, V. Carofiglio, A. Cavalluzzi and B. De Carolis (2006): User modeling and adaptation in health promotion dialogs with an animated character. Journal of Biomedical Informatics, Special Issue on 'Dialog systems for health communications'. T. Bickmore (Ed), 39, 5, 514-531.
5. C. Gauker: Think out loud: An essay on the relation between thought and language. Princeton University Press, 1994.
6. J. Gray and C. Brezeal (2005). Toward helpful robot teammates: a simulation-theoretic approach for inferring mental state of others. AAAI Workshop on Modular Construction of Human-Like Intelligence, Pittsburgh.
7. P.H. Grice (1989). Studies in the Way of Words, Harvard University Press.
8. S. Gross (2006). Can one sincerely say what one doesn't believe? Mind and Language. 21, 1.
9. A. Kennedy and D. Inkpen (2006). Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence, 22, 2, 110-125.
10. W.R. Miller, S. Rollnick, Motivational Interviewing - Preparing People to Change Addictive Behaviour, The Guilford Press.
11. T.M. Mitchell (1997). Machine Learning. Boston, MA: McGraw Hill.
12. T. Mullen and R. Malouf (2006). A preliminary investigation into sentiment analysis of informal political discourse. AAAI Symposium on Computational Approaches to Analyzing Weblogs, 159-162.
13. B. Pang and L. Lee (2004) A Sentimental Education: sentiment analysis using subjectivity summarization based on minimum cuts. Proceedings of the 42nd ACL, 271-278
14. J. Prochaska, C. Di Clemente and H. Norcross (2002) In search of how people change: applications to addictive behavior. American Psychologist, 47.
15. C. Whitelaw, S. Argamon and N. Garg (2005). Using appraisal taxonomies for sentiment analysis. Proceedings of the First Computational Systemic Functional Grammar Conference, Sydney.
16. T. Wilson, J. Wiebe and P. Hoffmann (2005) Recognizing contextual polarity in phrase-level sentiment analysis. Proceedings of HLT-EMNLP Vancouver