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REDES: Reconocimiento de Entidades Digitales: Enriquecimiento y Seguimiento mediante Tecnologías del Lenguaje ; REDES: Digital Entities Recognition: Enrichment and Tracking by Language Technologies
Ureña López, Luis Alfonso; Montoyo, Andres; Martín Valdivia, María Teresa. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2017
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A novel concept-level approach for ultra-concise opinion summarization
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InTime
Gómez, José M.; Navarro, Sergio; Martínez-Barco, Patricio. - : Universidad de Alicante, 2014
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Sentiment classification for early detection of health alerts in the chemical textile domain
Fernández Martínez, Javier; Prieto, Carolina; Lloret, Elena. - : Computational Linguistics in the Netherlands, 2013
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LEGOLANG: técnicas de deconstrucción aplicadas a las tecnologías del lenguaje humano ; LEGOLANG: deconstruction techniques applied to human language technologies
Martínez-Barco, Patricio; Ferrández, Antonio; Tomás, David. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2013
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EMOTIBLOG: a model to learn subjetive information detection in the new textual genres of the web 2.0 -a multilingual and multi-genre approach
Boldrini, Ester. - : Universidad de Alicante, 2012
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TextMess 2.0: las tecnologías del lenguaje humano ante los nuevos retos de la comunicación digital ; TextMess 2.0: the new digital media challenges facing human language technologies
Martínez-Barco, Patricio; Martí Antonín, Maria Antònia; Ureña López, Luis Alfonso. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2011
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EMOCause: an easy-adaptable approach to emotion cause contexts
Caselli, Tommaso; Russo, Irene; Martínez-Barco, Patricio. - : Association for Computational Linguistics (ACL), 2011
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Araknion: inducción de modelos lingüísticos a partir de corpora ; Araknion: inducing linguistics models from corpora
Martí Antonín, Maria Antònia; Taulé Delor, Mariona; Carreras Pérez, Xavier. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2011
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Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining
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TextMess 2.0: Las Tecnologías del Lenguaje Humano ante los nuevos retos de la comunicación digital
Martínez-Barco, Patricio; Martí Antonin, M. Antònia; Ureña López, L. Alfonso. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2011
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TextMess 2.0: Las Tecnologías del Lenguaje Humano ante los nuevos retos de la comunicación digital
Martínez-Barco, Patricio; Ureña López, Luis Alfonso; Rosso, Paolo. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2011
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The OpAL System at NTCIR 8 MOAT
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EmotiBlog: a finer-grained and more precise learning of subjectivity expression models
Balahur Dobrescu, Alexandra; Martínez-Barco, Patricio; Boldrini, Ester. - : Association for Computational Linguistics (ACL), 2010
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Going beyond traditional QA systems: challenges and keys in opinion question answering
Montoyo, Andres; Boldrini, Ester; Martínez-Barco, Patricio. - : Association for Computational Linguistics (ACL), 2010
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AQA: a multilingual anaphora annotation scheme for question answering ; AQA: un modelo de anotación anafórico multilingüe para búsqueda de respuestas
Boldrini, Ester; Puchol Blasco, Marcel; Navarro Colorado, Borja. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2009
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TEXT-MESS: Intelligent, Interactive and Multilingual Text Mining based on Human Language Technologies, TIN2006-15265-C06
Martínez-Barco, Patricio; Gonzalo Arroyo, Julio; Ureña López, Luis Alfonso. - : España. Ministerio de Ciencia e Innovación, 2009
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Enhancing QA systems with complex temporal question processing capabilities
Abstract: This paper presents a multilayered architecture that enhances the capabilities of current QA systems and allows different types of complex questions or queries to be processed. The answers to these questions need to be gathered from factual information scattered throughout different documents. Specifically, we designed a specialized layer to process the different types of temporal questions. Complex temporal questions are first decomposed into simple questions, according to the temporal relations expressed in the original question. In the same way, the answers to the resulting simple questions are recomposed, fulfilling the temporal restrictions of the original complex question. A novel aspect of this approach resides in the decomposition which uses a minimal quantity of resources, with the final aim of obtaining a portable platform that is easily extensible to other languages. In this paper we also present a methodology for evaluation of the decomposition of the questions as well as the ability of the implemented temporal layer to perform at a multilingual level. The temporal layer was first performed for English, then evaluated and compared with: a) a general purpose QA system (F-measure 65.47% for QA plus English temporal layer vs. 38.01% for the general QA system), and b) a well-known QA system. Much better results were obtained for temporal questions with the multilayered system. This system was therefore extended to Spanish and very good results were again obtained in the evaluation (F-measure 40.36% for QA plus Spanish temporal layer vs. 22.94% for the general QA system). ; This paper has been partially supported by the Spanish government, project TIN-2006-15265-C06-01, and by the framework of the project QALL-ME, which is a 6th Framework Research Programme of the European Union (EU), contract number: FP6-IST-033860.
Keyword: Complex temporal questions; Lenguajes y Sistemas Informáticos; Processing; QA systems
URL: http://hdl.handle.net/10045/22488
https://doi.org/10.1613/jair.2805
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Machine learning techniques for automatic opinion detection in non-traditional textual genres
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Opinion and generic question answering systems: a performance analysis
Martínez-Barco, Patricio; Balahur Dobrescu, Alexandra; Montoyo, Andres. - : Association for Computational Linguistics (ACL), 2009
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