Abstract
This paper presents SuPor, an environment for extractive Automatic Summarization of texts written in Brazilian Portuguese, which can be explored by a specialist on AS to select promising strategic features for extraction. By combining any number of features, SuPor actually entitles one to investigate the performance of distinct AS systems and identify which groups of features are more adequate for Brazilian Portuguese. One of its systems has outperformed six other extractive summarizers, signaling a significant grouping of features, as shown in this paper.
Cite
CITATION STYLE
Rino, L. H. M., & Módolo, M. (2004). SuPor: An environment for as of texts in Brazilian Portuguese. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3230, pp. 419–430). Springer Verlag. https://doi.org/10.1007/978-3-540-30228-5_37
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