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Title: A Review on Cooperative Question-Answering Systems
Authors: Melo, Dora
Pimenta Rodrigues, Irene
Beires Nogueira, Vitor
Editors: Ferreira, Lígia
Pedro, Vasco
Keywords: Question-Answering Systems
Information Retrieval
Information Extraction
Natural Language Processing
Issue Date: Feb-2013
Citation: melo_jiue_2013
Abstract: The Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural Language Processing (NLP). Given a set of documents, a QA system tries to obtain the correct answer to the questions posed in Natural Language (NL). Normally, the QA systems comprise three main components: question classification, information retrieval and answer extraction. Question classification plays a major role in QA systems since it classifies questions according to the type in their entities. The techniques of information retrieval are used to obtain and to extract relevant answers in the knowledge domain. Finally, the answer extraction component is an emerging topic in the QA systems. This module basically classifies and validates the candidate answers. In this paper we present an overview of the QA systems, focusing on mature work that is related to cooperative systems and that has got as knowledge domain the Semantic Web (SW). Moreover, we also present our proposal of a cooperative QA for the SW.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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