A semantic approach to temporal information processing

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/23802
Información del item - Informació de l'item - Item information
Título: A semantic approach to temporal information processing
Título alternativo: Una aproximació semàntica al processament de la informació temporal
Autor/es: Llorens Martínez, Héctor
Director de la investigación: Saquete Boró, Estela | Navarro Colorado, Francisco de Borja
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Palabras clave: Porcesamiento de la información temporal | TimeML | Semántica | Time-Surfer
Área/s de conocimiento: Lenguajes y Sistemas Informáticos
Fecha de creación: 2011
Fecha de publicación: 2011
Fecha de lectura: 7-jul-2011
Editor: Universidad de Alicante
Resumen: This thesis is focused on temporal information processing, which is a task framed in the field of natural language processing. The aim of this task is to obtain the temporal location and ordering of the events expressed in text or discourse, which requires the automatic interpretation of temporal expressions, events, and the temporal relations between them. The majority of current approaches are based on morphosyntactic knowledge. However, temporal entities are often ambiguous at that language analysis level. Our hypothesis is that the linguistic expression of time is a semantic phenomenon and therefore, to achieve a better extraction performance, temporal information must be processed using semantics. To prove this hypothesis, we present a semantic approach to temporal information processing: TIPSem. This is an automated system that includes features based on lexical semantics, semantic roles, and temporal semantics, in addition to morphosyntactic features. TIPSem has been empirically evaluated through the participation in the TempEval-2 international evaluation exercise and subsequent experiments based on this test. The results obtained firmly support the presented hypothesis and their analysis demonstrates that semantic features aid in handling morphosyntactic ambiguity and favour generalization capabilities. These conclusions have been reached for different languages (i.e., English, Spanish, Italian, and Chinese), which supports the defended hypothesis at a multilingual level. Finally, as compared with the state of the art, TIPSem obtains a very competitive performance level and introduces a remarkable improvement in event processing. TIPSem has been applied to the problem of graphical representation of temporal information. We have developed a dynamic interface which brings users time-based access to information: Time-Surfer. The results obtained through a user-oriented evaluation of this interface demonstrate that TIPSem’s performance is also satisfactory from an extrinsic standpoint.
Patrocinador/es: This PhD thesis has been supported by the Spanish Government, in projects: TIN-2006-15265-C06-01, TIN-2009-13391-C04-01 and PROMETEO/2009/119, where Hector Llorens is funded under a FPI grant (BES-2007-16256).
URI: http://hdl.handle.net/10045/23802
ISBN: 978-84-695-4172-2
Idioma: eng | cat
Tipo: info:eu-repo/semantics/doctoralThesis
Aparece en las colecciones:Tesis doctorales

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
ThumbnailThesis_H_Llorens.pdfEnglish Version2,88 MBAdobe PDFAbrir Vista previa
ThumbnailTesi_H_Llorens.pdfVersió en Valencià2,77 MBAdobe PDFAbrir Vista previa

Este ítem está licenciado bajo Licencia Creative Commons Creative Commons