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A Review on Cooperative Question-Answering Systems

Melo, Dora; Pimenta Rodrigues, Irene; Beires Nogueira, Vitor

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...


Puzzle out the semantic web search

Melo, Dora; Rodrigues, Irene; Nogueira, Vitor

In this paper we propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a cooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of...


Um sistema de pergunta-resposta para ontologias owl

Melo, Dora; Rodrigues, Irene; Nogueira, Vitor

Os sistemas de pergunta-resposta em língua natural sobre a web semântica exigem mecanismos capazes de interpretar para além da correspondência de palavras em documentos, actualmente feito pelos motores de pesquisa na internet, bem como de encontrar uma resposta precisa, sem exigir a ajuda do utilizador para interpretar os documentos retornados. Neste artigo apresentamos um Controlador do Discurso que, através d...


Work out the semantic web search: The cooperative way

Melo, Dora; Rodrigues, Irene; Nogueira, Vitor

In this paper we propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a cooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of...


Cooperative Question Answering Semantic Web

Melo, Dora; Rodrigues, Irene Pimenta; Nogueira, Vitor

In this paper we propose a Cooperative Question Answering System that takes as input queries expressed in natural language and is able to return a cooperative answer obtained from resources in the Semantic Web, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independ...


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Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia