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Interactive Pattern Recognition applied to Natural Language Processing

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Interactive Pattern Recognition applied to Natural Language Processing

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dc.contributor.advisor Vidal Ruiz, Enrique es_ES
dc.contributor.advisor García Varea, Ismael es_ES
dc.contributor.author Rodríguez Ruiz, Luis es_ES
dc.date.accessioned 2010-07-26T07:05:28Z
dc.date.available 2010-07-26T07:05:28Z
dc.date.created 2010-06-21T08:00:00Z es_ES
dc.date.issued 2010-07-26T07:05:25Z es_ES
dc.identifier.uri http://hdl.handle.net/10251/8479
dc.description.abstract This thesis is about Pattern Recognition. In the last decades, huge efforts have been made to develop automatic systems able to rival human capabilities in this field. Although these systems achieve high productivity rates, they are not precise enough in most situations. Humans, on the contrary, are very accurate but comparatively quite slower. This poses an interesting question: the possibility of benefiting from both worlds by constructing cooperative systems. This thesis presents diverse contributions to this kind of collaborative approach. The point is to improve the Pattern Recognition systems by properly introducing a human operator into the system. We call this Interactive Pattern Recognition (IPR). Firstly, a general proposal for IPR will be stated. The aim is to develop a framework to easily derive new applications in this area. Some interesting IPR issues are also introduced. Multi-modality or adaptive learning are examples of extensions that can naturally fit into IPR. In the second place, we will focus on a specific application. A novel method to obtain high quality speech transcriptions (CAST, Computer Assisted Speech Transcription). We will start by proposing a CAST formalization and, next, we will cope with different implementation alternatives. Practical issues, as the system response time, will be also taken into account, in order to allow for a practical implementation of CAST. Word graphs and probabilistic error correcting parsing are tools that will be used to reach an alternative formulation that allows for the use of CAST in a real scenario. Afterwards, a special application within the general IPR framework will be discussed. This is intended to test the IPR capabilities in an extreme environment, where no input pattern is available and the system only has access to the user actions to produce a hypothesis. Specifically, we will focus here on providing assistance in the problem of text generation. es_ES
dc.language Inglés es_ES
dc.rights Reserva de todos los derechos es_ES
dc.source Riunet
dc.subject Reconocimiento de formas procesamiento del lenguaje es_ES
dc.subject Procesamiento del lenguaje natural es_ES
dc.subject Procesamiento del lenguaje interactivo es_ES
dc.title Interactive Pattern Recognition applied to Natural Language Processing
dc.type Tesis doctoral es_ES
dc.identifier.doi 10.4995/Thesis/10251/8479 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Rodríguez Ruiz, L. (2010). Interactive Pattern Recognition applied to Natural Language Processing [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/8479 es_ES
dc.description.accrualMethod Palancia es_ES
dc.type.version info:eu-repo/semantics/acceptedVersion es_ES
dc.relation.tesis 3324 es_ES


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