Semantic composition for spoken language understanding ; Composition sémantique pour la langue orale
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| Titel: | Semantic composition for spoken language understanding ; Composition sémantique pour la langue orale |
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| Autoren: | Duvert, Frédéric |
| Weitere Verfasser: | Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Université d'Avignon, Renato De Mori, Frédéric Béchet |
| Quelle: | https://theses.hal.science/tel-00609520 ; Autre [cs.OH]. Université d'Avignon, 2010. Français. ⟨NNT : 2010AVIG0174⟩. |
| Verlagsinformationen: | CCSD |
| Publikationsjahr: | 2010 |
| Bestand: | Université d'Avignon et des Pays de Vaucluse: HAL |
| Schlagwörter: | Semantic composition, Ontology, Spoken language understanding, Speech processing, Shallow parsing, Chunked knowledge, MEDIA, LUNA, FrameNet, Lambda-expression, Composition sémantique, Ontologie, Compréhension orale, Interprétation syntaxique partielle, Connaissances partielles, Représentation sémantique, Lambda-expressions, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] |
| Beschreibung: | The thesis presented here is intended to provide detection systems, composition of components and semantic interpretation in the natural spoken language understanding. This understanding is based on an automatic speech recognition system that translates the signals into oral statements used by the machine. The transcribed speech signal, contains a series of errors related to recognition errors (noise, poor pronunciation.). The interpretation of this statement is difficult because it is derived from a spoken discourse, subject to the disfluency of speech, forself-correction. The statement is more ungrammatical, because the spoken discourse itself is ungrammatical. The application of grammatical analysis methods do not produce good results interpretation, on the outcome of speech transcription. The use of deep syntactic analysis methods should be avoided. Thus, a superficial analysis is considered. A primary objective is to provide a representation of meaning. It is considered ontologies to conceptualize the world we describe. We can express the semantic components in first order logic with predicates. In the work described here, we represent the semantic elements by frames (FrameNet ). The frames are hierarchical structures, and are fragments of knowledge which can be inserted, merge or infer other fragments of knowledge. The frames are differentiable structures in logical formulas. We propose a system for speech understanding from logical rules with the support of an ontology in order to create links from semantic components. Then, we conducted a study on the discovery supports syntactic semantic relationships. We propose a compositional semantics experience to enrich the basic semantic components. Finally, we present a detection system for lambda-expression hypothesis to find the relationship through discourse ; La thèse présentée ici a pour but de proposer des systèmes de détection, de composition de constituants sémantiques et d’interprétation dans la compréhension de la langue naturelle parlée. Cette ... |
| Publikationsart: | doctoral or postdoctoral thesis |
| Sprache: | French |
| Relation: | NNT: 2010AVIG0174 |
| Verfügbarkeit: | https://theses.hal.science/tel-00609520 https://theses.hal.science/tel-00609520v1/document https://theses.hal.science/tel-00609520v1/file/These_FrA_dA_ricDuvert.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| Dokumentencode: | edsbas.6950EB35 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | The thesis presented here is intended to provide detection systems, composition of components and semantic interpretation in the natural spoken language understanding. This understanding is based on an automatic speech recognition system that translates the signals into oral statements used by the machine. The transcribed speech signal, contains a series of errors related to recognition errors (noise, poor pronunciation.). The interpretation of this statement is difficult because it is derived from a spoken discourse, subject to the disfluency of speech, forself-correction. The statement is more ungrammatical, because the spoken discourse itself is ungrammatical. The application of grammatical analysis methods do not produce good results interpretation, on the outcome of speech transcription. The use of deep syntactic analysis methods should be avoided. Thus, a superficial analysis is considered. A primary objective is to provide a representation of meaning. It is considered ontologies to conceptualize the world we describe. We can express the semantic components in first order logic with predicates. In the work described here, we represent the semantic elements by frames (FrameNet ). The frames are hierarchical structures, and are fragments of knowledge which can be inserted, merge or infer other fragments of knowledge. The frames are differentiable structures in logical formulas. We propose a system for speech understanding from logical rules with the support of an ontology in order to create links from semantic components. Then, we conducted a study on the discovery supports syntactic semantic relationships. We propose a compositional semantics experience to enrich the basic semantic components. Finally, we present a detection system for lambda-expression hypothesis to find the relationship through discourse ; La thèse présentée ici a pour but de proposer des systèmes de détection, de composition de constituants sémantiques et d’interprétation dans la compréhension de la langue naturelle parlée. Cette ... |
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