A minimum message length approach for argument interpretation

Proceedings of the SIGDIAL 2002 Workshop - 3rd Annual Meeting of the Special Interest Group on Discourse and Dialogue

Volumn , Issue , 2002, Pages 211-220

  Zukerman, Ingrid ^a   George, Sarah ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARGUMENT INTERPRETATIONS; ARGUMENT STRUCTURES; AUTOMATICALLY GENERATED; BELIEF STRUCTURES; KNOWLEDGE-REPRESENTATION; MINIMUM MESSAGE LENGTHS; PERFORMANCE;

KNOWLEDGE REPRESENTATION;

EID: 60049085439     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Sandra Carberry and Lynn Lambert. 1999. A process model for recognizing communicative acts and modeling negotiation subdialogues. Computational Linguistics, 25(1):1-53.
2. Eugene Charniak and Robert P. Goldman. 1993. A Bayesian model of plan recognition. Artificial Intelligence, 64(1):50-56.
3. Christopher Elsaesser. 1987. Explanation of probabilistic inference for decision support systems. In Proceedings of the AAAI-87Workshop on Uncertainty in Artificial Intelligence, pages 394-403, Seattle, Washington.
4. Eric Horvitz and Tim Paek. 1999. A computational architecture for conversation. In UM99 - Proceedings of the Seventh International Conference on User Modeling, pages 201-210, Banff, Canada.
5. Dekang Lin. 1998. Dependency-based evaluation of MINIPAR. In Workshop on the Evaluation of Parsing Systems, Granada, Spain.
6. George Miller, Richard Beckwith, Christiane Fellbaum, Derek Gross, and Katherine Miller. 1990. Introduction to WordNet: An on-line lexical database. Journal of Lexicography, 3(4):235-244.
7. Judea Pearl. 1988. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann Publishers, San Mateo, California.
8. Ian Thomas, Ingrid Zukerman, Jonathan Oliver, David W. Albrecht, and Bhavani Raskutti. 1997. Lexical access for speech understanding using Minimum Message Length encoding. In UAI97 - Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, pages 464-471. Morgan Kaufmann.
9. C.S. Wallace and D.M. Boulton. 1968. An information measure for classification. The Computer Journal, 11:185-194.
10. Ingrid Zukerman. 2001. An integrated approach for generating arguments and rebuttals and understanding rejoinders. In UM01 - Proceedings of the Eighth International Conference on User Modeling, pages 84-94, Sonthofen, Germany.