| Journal: | Computación y sistemas |
| Database: | |
| System number: | 000560785 |
| ISSN: | 1405-5546 |
| Authors: | Neri Mendoza, Verónica1 Ledeneva, Yulia1 García Hernández, René Arnulfo1 Hernández Castañeda, Ángel1 |
| Institutions: | 1Universidad Autónoma del Estado de México, Toluca de Lerdo. México |
| Year: | 2023 |
| Season: | Ene-Mar |
| Volumen: | 27 |
| Number: | 1 |
| Pages: | 269-279 |
| Country: | México |
| Language: | Inglés |
| English abstract | In this paper, we addressed the generic and update text summarization tasks of a set of documents as a combinatorial optimization problem through a genetic algorithm and unsupervised textual features. Particularly under the news domain, input documents are a set of articles of varying sizes covering the same event. The main advantage of the proposed method is that it is language-independent. The experimental results demonstrated that the method performs well for both kinds of summarization. Moreover, we calculated the heuristics for update text summarization like a benchmark to compare state-of-the-art methods. |
| Keyword: | Generic, Update, Multi-document, Text summarization, Genetic algorithm |
| Full text: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
