| Paper: | SP-P4.5 | ||
| Session: | Topics in Speech Understanding Systems | ||
| Time: | Tuesday, May 18, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Spoken Language Systems and Dialog | ||
| Title: | AUTOMATIC LEARNING OF INTERPRETATION STRATEGIES FOR SPOKEN DIALOGUE SYSTEMS | ||
| Authors: | Christian Raymond; CNRS / University of Avignon | ||
| Frédéric Béchet; CNRS / University of Avignon | |||
| Renato De Mori; CNRS / University of Avignon | |||
| Géraldine Damnati; France Télécom R&D | |||
| Yannick Estève; Université du Maine | |||
| Abstract: | This paper proposes a new application of automatically trained decision trees to derive the interpretation of a spoken sentence. A new strategy for building structured cohorts of candidates is also described. By evaluating predicates related to the acoustic confidence of the words expressing a concept, the linguistic and semantic consistency of candidates in the cohort and the rank of a candidate within a cohort, the decision tree automatically learn a decision strategy for rescoring or rejecting a n-best list of candidates representing a user's utterance. A relative reduction of 18.6% in the Understanding Error Rate is obtained by our rescoring strategy with no utterance rejection and a relative reduction of 43.1% of the same error rate is achieve with a rejection rate of only 8% of the utterances. | ||
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