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, Sep 29-Oct 01, 2004, Sao Luis, Brazil. (doi:https://doi.org/10.1007/b100195) (Full text available)

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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: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:16 UTC
Last Modified: 16 Apr 2014 08:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/24120 (The current URI for this page, for reference purposes)
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