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A Comparison of Automatic Summarizers of Texts in Brazilian Portuguese

Rino, Lucia H.M. and Pardo, Thiago A.S. and Silla Jr, Carlos N. and Kaestner, Celso A.A. and Pombo, Michael (2004) A Comparison of Automatic Summarizers of Texts in Brazilian Portuguese. In: Advances in Artificial Intelligence – SBIA 2004 17th Brazilian Symposium on Artificial Intelligence. Lecture Notes in Artificial Intelligence . Springer, Berlin, Germany, pp. 235-244. ISBN 978-3-540-23237-7. E-ISBN 978-3-540-28645-5. (doi:10.1007/978-3-540-28645-5_24) (KAR id:24120)

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http://dx.doi.org/10.1007/978-3-540-28645-5_24

Abstract

Automatic Summarization (AS) in Brazil has only recently become a significant research topic. When compared to other languages initiatives, such a delay can be explained by the lack of specific resources, such as expressive lexicons and corpora that could provide adequate foundations for deep or shallow approaches on AS. Taking advantage of having commonalities with respect to resources and a corpus of texts and summaries written in Brazilian Portuguese, two NLP research groups have decided to start a common task to assess and compare their AS systems. In the experiment five distinct extractive AS systems have been assessed. Some of them incorporate techniques that have been already used to summarize texts in English; others propose novel approaches to AS. Two baseline systems have also been considered. An overall performance comparison has been carried out, and its outcomes are discussed in this paper.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-540-28645-5_24
Uncontrolled keywords: Word Frequency, Source Text, Sentence Length, Proper Noun, Text Summarization
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:16 UTC
Last Modified: 16 Feb 2021 12:34 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/24120 (The current URI for this page, for reference purposes)
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