Une caractérisation de la pertinence pour les actions de référence
Identifieur interne : 007C04 ( Main/Exploration ); précédent : 007C03; suivant : 007C05Une caractérisation de la pertinence pour les actions de référence
Auteurs : Frédéric Landragin [France]Source :
Descripteurs français
- mix :
English descriptors
Abstract
For automatic comprehension or generation of referring expressions, Relevance Theory proposes a cognitive criterion that allows to compare the relevance of several expressions in a linguistic context. We want here to pursue this work. We propose a more precise characterization of this criterion and foundations for its computation. We extend the analysis to multimodal communication, and we show how visual perception, speech and gesture present multiple interactions between each other in the production of contextual effects. We describe with some features the processing effort of a multimodal expression. Then we show how comparisons between these features lead to an efficient exploitation of the relevance criterion in man-machine dialogue. We raise some weak points of our proposal and we deduce future plans for a formalization of relevance.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 006834
- to stream Hal, to step Curation: 006834
- to stream Hal, to step Checkpoint: 005187
- to stream Main, to step Merge: 008026
- to stream Main, to step Curation: 007C04
Le document en format XML
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We want here to pursue this work. We propose a more precise characterization of this criterion and foundations for its computation. We extend the analysis to multimodal communication, and we show how visual perception, speech and gesture present multiple interactions between each other in the production of contextual effects. We describe with some features the processing effort of a multimodal expression. Then we show how comparisons between these features lead to an efficient exploitation of the relevance criterion in man-machine dialogue. 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