Abstract
In this paper, we present and analyze the results of the application of a text summarization system – GistSumm – to the task of monolingual question answering at CLEF 2006 for Portuguese texts. We hypothesized that topic-oriented summarization techniques could be able to produce more accurate answers. However, our results showed that there is a big gap to be overcome for summarization to be directly applied to question-answering tasks.
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Balage Filho, P.P., Uzêda, V.R., Pardo, T.A.S., Nunes, M.G.V.: Estrutura Textual e Multiplicidade de Tópicos na Sumarização Automática: o Caso do Sistema GistSumm. Technical Report 283. Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo (2006)
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Pardo, T.A.S., Rino, L.H.M., Nunes, M.G.V.: GistSumm: A Summarization Tool Based on a New Extractive Method. In: Mamede, N.J., Baptista, J., Trancoso, I., Nunes, M.G.V. (eds.) PROPOR 2003. LNCS, vol. 2721, pp. 210–218. Springer, Heidelberg (2003)
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© 2007 Springer-Verlag Berlin Heidelberg
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Balage Filho, P.P., de Uzêda, V.R., Pardo, T.A.S., Nunes, M.d.G.V. (2007). Experiments on Applying a Text Summarization System for Question Answering. In: Peters, C., et al. Evaluation of Multilingual and Multi-modal Information Retrieval. CLEF 2006. Lecture Notes in Computer Science, vol 4730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74999-8_44
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DOI: https://doi.org/10.1007/978-3-540-74999-8_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74998-1
Online ISBN: 978-3-540-74999-8
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