Resumo

NERI-MENDOZA, Verónica; LEDENEVA, Yulia; GARCIA-HERNANDEZ, René Arnulfo  e  HERNANDEZ-CASTANEDA, Ángel. Multi-document Text Summarization through Features Relevance Calculation. Comp. y Sist. [online]. 2024, vol.28, n.3, pp.1417-1427.  Epub 21-Jan-2025. ISSN 2007-9737.  https://doi.org/10.13053/cys-28-3-5201.

Multi-document text summarization is obtaining relevant information from a set of documents describing the same topic. However, determining the key sentences in the text to be presented as a summary is difficult. Consequently, it is necessary to use features that help to identify informative sentences from those that are not. However, distinguishing between significant and insignificant features is a challenging task. In this study, we introduced a method to assess the impact of 19 linguistic and statistical features derived from human-written reference summaries. Moreover, we tested them using the DUC01 dataset in two lengths (50 and 100 words). The results demonstrate that the proposed method outperforms state-of-the-art approaches and heuristics based on the ROUGE-1 metric.

Palavras-chave : Text features; summarization; multi-document; contribution of features.

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