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A comparison of automatic summarizers of texts in brazilian portuguese
Lucia H. M. Rino, Thiago A. S. Pardo, Carlos N. Silla Jr., Celso A. A. Kaestner, and Michael Pombo
In Advances in Artificial Intelligence � SBIA 2004, volume 3171 of Lecture Notes in Artificial Intelligence, pages 182-196. Springer, October 2004 [doi].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.
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@inproceedings{2931,
author = {Lucia H. M. Rino and Thiago A. S. Pardo and Carlos N. Silla Jr. and Celso A. A. Kaestner and Michael Pombo},
title = {A Comparison of Automatic Summarizers of Texts in Brazilian Portuguese},
month = {October},
year = {2004},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {10.1007/b100195},
url = {http://www.cs.kent.ac.uk/pubs/2004/2931},
publication_type = {inproceedings},
submission_id = {1686_1245729521},
other_year = {2004},
volume = {3171},
series = {Lecture Notes in Artificial Intelligence},
publisher = {Springer},
refereed = {yes},
booktitle = {Advances in Artificial Intelligence � SBIA 2004},
}