Adaptive generation of multilingual questions and answers from web content

Gatius Vila, Marta

doi:10.1109/DEXA.2015.72

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Gatius Vila, Marta

Document typeConference report

Defense date2015

PublisherInstitute of Electrical and Electronics Engineers (IEEE)

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

ProjectADQUISICION DE ESCENARIOS DE CONOCIMIENTO A TRAVES DE LA LECTURA DE TEXTOS: INFERENCIA DE RELACIONES ENTRE EVENTOS (MINECO-TIN2012-38584-C06-01)

Abstract

This article describes the adaptive generation of questions and answers from web content to assist the user when searching for information. The approach proposed integrates user models, domain-restricted knowledge representation, natural language and wrappers techniques. This proposal is based on the representation of the main concepts involved in a specific scenario as a set of attributes, and the user models as the subset of those conceptual attributes relevant for each user. The approach described has been applied to generate multilingual personalized questions and answers from web sites in two different domains: university courses and dissemination on nutrition.

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(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

CitationGatius, M. Adaptive generation of multilingual questions and answers from web content. A: International Workshop on Database and Expert Systems Applications. "2015 26th International Workshop on Database and Expert Systems Applications (DEXA)". Valencia: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 304-308.

URIhttp://hdl.handle.net/2117/85441

DOI10.1109/DEXA.2015.72

ISBN978-1-4799-5722-4

Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7406311

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