TEXT-MESS: Intelligent, Interactive and Multilingual Text Mining based on Human Language Technologies, TIN2006-15265-C06
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Title: | TEXT-MESS: Intelligent, Interactive and Multilingual Text Mining based on Human Language Technologies, TIN2006-15265-C06 |
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Authors: | Martínez-Barco, Patricio | Gonzalo Arroyo, Julio | Ureña López, Luis Alfonso | Pla Santamaría, Ferrán | Ageno Pulido, Alicia María | Martí Antonín, Maria Antònia |
Research Group/s: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Center, Department or Service: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Keywords: | Text mining | Human language technologies (HLT) | HLT resources | Information retrieval | Question answering | Information extraction | HLT evaluation |
Knowledge Area: | Lenguajes y Sistemas Informáticos |
Issue Date: | 2009 |
Publisher: | España. Ministerio de Ciencia e Innovación |
Citation: | MARTÍNEZ BARCO, Patricio, et al. “TEXT-MESS: Intelligent, Interactive and Multilingual Text Mining based on Human Language Technologies, TIN2006-15265-C06”. En: Jornada de Seguimiento de Proyectos en Tecnologías Informáticas, jspTIN2009, pp. 519-541 |
Abstract: | The goal of the project is to analyze, experiment, and develop intelligent, interactive and multilingual Text Mining technologies, as a key element of the next generation of search engines, systems with the capacity to find "the need behind the query". This new generation will provide specialized services and interfaces according to the search domain and type of information needed. Moreover, it will integrate textual search (websites) and multimedia search (images, audio, video), it will be able to find and organize information, rather than generating ranked lists of websites. |
URI: | http://hdl.handle.net/10045/22644 |
Language: | eng |
Type: | info:eu-repo/semantics/conferenceObject |
Peer Review: | si |
Appears in Collections: | INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc. |
Files in This Item:
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2009_Martinez_Barco_jspTIN.pdf | 248,23 kB | Adobe PDF | Open Preview | |
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