Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 4773-4776

  Meurs, Marie Jean ^a   Lefèvre, Fabrice ^a   De Mori, Renato ^a  

^a UNIVERSITY OF AVIGNON   (France)

Author keywords

Dynamic Bayesian networks; Semantic composition; Semantic frames; Spoken dialog system; Spoken language understanding

Indexed keywords

BASIC CONCEPTS; CONCEPT LEVELS; DYNAMIC BAYESIAN NETWORK; DYNAMIC BAYESIAN NETWORKS; FRAME STRUCTURE; FRAMENET; PROBABILISTIC FRAMEWORK; REFERENCE FRAME; RULE-BASED PROCESS; SEMANTIC COMPOSITION; SEMANTIC STRUCTURES; SPEECH TRAINING; SPOKEN DIALOG SYSTEM; SPOKEN LANGUAGE UNDERSTANDING; SPOKEN LANGUAGES; STOCHASTIC APPROACH; TASK DOMAIN; TEST DATA;

ACOUSTICS; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LINGUISTICS; QUERY LANGUAGES; SEMANTICS; SIGNAL PROCESSING; SPEECH RECOGNITION; STATISTICAL TESTS; STOCHASTIC MODELS;

BAYESIAN NETWORKS;

EID: 70349215666     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960698     Document Type: Conference Paper

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