A DBN-based multi-level stochastic spoken language understanding system

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

Volumn , Issue , 2006, Pages 78-81

  Lefèvre, Fabrice ^a  

^a LIA

Author keywords

[No Author keywords available]

Indexed keywords

BACKOFF; CONCEPTUAL MODELLING; CONDITIONAL PROBABILITIES; DYNAMIC BAYESIAN NETWORK (DBN); HOTEL BOOKING; LANGUAGE MODELLING; MODEL COMPLEXITY; MULTI LEVEL (ML); SPEECH UNDERSTANDING; SPOKEN LANGUAGE UNDERSTANDING (SLU); SPOKEN LANGUAGES; STOCHASTIC MODULE; TRAINING CORPUS; 3 LEVELS; MODELING COMPLEXITY; MULTILEVELS; NORMALISATION; ON DYNAMICS; SPOKEN LANGUAGE UNDERSTANDING; STOCHASTICS; TIME BASED;

BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; DECODING; INFERENCE ENGINES; LINGUISTICS; PROBABILITY; SPEECH ANALYSIS; STOCHASTIC PROGRAMMING; SPEECH RECOGNITION;

SPEECH RECOGNITION; STOCHASTIC SYSTEMS;

EID: 48749130285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2006.326821     Document Type: Conference Paper

References (14)

1. H. Bonneau-Maynard and F. Lefèvre, "A 2+1-level stochastic understanding model", IEEE ASRU, 2005.
2. H. Bonneau-Maynard et al, "Results of the French EVALDA-MEDIA evaluation campaign for literal understanding", LREC, 2006.
3. E. Levin and R. Pieraccini, "Concept-based Spontaneous Speech Understanding System", ESCA Eurospeech, 1995.
4. R. Schwartz et al, "Hidden Understanding Models for Statistical Sentence Understanding", IEEE ICASSP, 1997.
5. F. Pla et al, "Language Understanding using Two-level Stochastic Models with POS and Semantic Units", LNCS series, vol. 2166, p. 403-409, 2001.
6. Y. He and S. Young, "Spoken Language Understanding using the Hidden Vector State Model", Speech Communication, Vol. 48(3-4), p. 262-275, 2005.
7. C. Raymond et al, "On the use of finite state transducers for semantic interpretation", Speech Communication, Vol 48:3-4, 288-304, 2006.
8. F. Lefèvre and H. Bonneau-Maynard, "Issues in the development of a stochastic speech understanding system", ICSLP, 2002.
9. H. Bonneau-Maynard et al, "Semantic annotation of the MEDIA corpus for spoken dialog", ISCA Eurospeech, 2005.
10. G. Ji and J. Bilmes, "Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging", HLT-NAACL, 2006
11. J. Bilmes and K. Kirchhoff, "Factored language models and generalized parallel backoff", HLT-NAACL, 2003.
12. J. Bilmes and G. Zweig, "The graphical models toolkit: An open source software system for speech and time-series processing", IEEE ICASSP, 2002.
13. A. Stolcke, "SRILM an extensible language modeling toolkit", IEEE ICASSP, 2002.
14. J. Lafferty et al, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data", ICML, 2001.