Conditional models for detecting lambda-functions in a spoken language understanding system

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2434-2437

  Duvert, Fréderic ^a   De Mori, Renato ^a,b  

^a Laboratoire d'Informatique d'Avignon (LIA)   (France)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Lambda expressions; Semantic composition; Semantic relations; Spoken language understanding

Indexed keywords

RANDOM PROCESSES; SPEECH COMMUNICATION; SEMANTICS; SPEECH RECOGNITION;

CONDITIONAL RANDOM FIELD; LAMBDA-EXPRESSIONS; SEMANTIC COMPOSITION; SEMANTIC RELATIONS; SPECIFIC SEMANTICS; SPOKEN LANGUAGE UNDERSTANDING; SUBSTANTIAL ERRORS; TELEPHONE DIALOGUES; CONDITIONAL MODELS; LAMBDA'S; LAMBDA-EXPRESSION; RANDOM FIELDS; WORD SEMANTICS;

SEMANTICS; RANDOM PROCESSES;

EID: 79959839758     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. R. De Mori, F. Bechet, D. Hakkani-Tur, M. McTear, G. Riccardi, and G. Tur, "Spoken language understanding: a survey," Signal Processing Magazine, IEEE, vol. 25, no. 3, pp. 50-58, May 2008.
2. LUNA, "spoken Language UNderstanding in multilinguAl communications systems," European Community, Sixth framework programme priority 2, ifnormation society technology, project n 33549. Final report, 2009. [Online]. Available: http://www.ist-luna.eu/index.htm
3. H. Bonneau-Maynard, S. Rosset, C. Ayache, A. Kuhn, and D. Mostefa, "Semantic annotation of the french media dialog corpus," in InterSpeech, Lisbon, September 2005.
4. Y. W. Wong and R. Mooney, "Learning synchronous grammars for semantic parsing with lambda calculus," in Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics. Prague, Czech Republic: Association for Computational Linguistics, June 2007, pp. 960-967.
5. L. S. Zettlemoyer and M. Collins, "Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars," in UAI, 2005, pp. 658-666.
6. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proceedings of 18th International Conference on Machine Learning. Morgan Kaufmann, San Francisco, CA, 2001, pp. 282-289.
7. A. Mccallum and B. Wellner, "Toward conditional models of identity uncertainty with application to proper noun coreference," in In NIPS. MIT Press, 2003, pp. 905-912.
8. C. Raymond and G. Riccardi, "Generative and discriminative algorithms for spoken language understanding," in InterSpeech, Antwerp, Belgium, August 2007.
9. Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimization via graph cuts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 11, pp. 1222-1239, 2001. (Pubitemid 33137959)
10. C. Raymond, F. Bechet, R. De Mori, and G. Damnati, "On the use of finite state transducers for semantic interpretation," Speech Communication, vol. 48, 3-4, pp. 288-304, 2006. (Pubitemid 43207402)
11. L. Barrault, C. Servan, D. Matrouf, G. Linares, and R. De Mori, "Frame-based acoustic feature integration for speech understanding," in IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'08), Las Vegas, mars 2008.