A Bayesian approach to semantic composition for spoken language interpretation

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2008, Pages 1161-1164

  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

AUTOMATIC ANNOTATION; BASIC CONCEPTS; BAYESIAN APPROACHES; CONCEPT LEVELS; CONFIDENCE SCORE; DYNAMIC BAYESIAN NETWORK; FRAME STRUCTURE; FRAMENET; HOTEL BOOKING; PROBABILISTIC FRAMEWORK; RULE-BASED APPROACH; RULE-BASED PROCESS; SEMANTIC COMPOSITION; SEMANTIC STRUCTURES; SPEECH TRAINING; SPOKEN DIALOG SYSTEMS; SPOKEN LANGUAGE UNDERSTANDING; SPOKEN LANGUAGES; SYSTEM SIMULATING; TEST DATA; WIZARD OF OZ;

DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; SPEECH COMMUNICATION; SPEECH RECOGNITION; STATISTICAL TESTS; TELEPHONE SYSTEMS; TRANSCRIPTION;

BAYESIAN NETWORKS;

EID: 84867191524     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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