Multi-document Text Summarization Based on Genetic Algorithm and the Relevance of Sentence Features

Verónica Neri Mendoza, Yulia Ledeneva, René Arnulfo García-Hernández, Ángel Hernández-Castañeda. Multi-document Text Summarization Based on Genetic Algorithm and the Relevance of Sentence Features. In Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz Sánchez, Juan Humberto Sossa Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera-López, editors, Pattern Recognition - 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22-25, 2022, Proceedings. Volume 13264 of Lecture Notes in Computer Science, pages 255-265, Springer, 2022. [doi]

@inproceedings{MendozaLGH22,
  title = {Multi-document Text Summarization Based on Genetic Algorithm and the Relevance of Sentence Features},
  author = {Verónica Neri Mendoza and Yulia Ledeneva and René Arnulfo García-Hernández and Ángel Hernández-Castañeda},
  year = {2022},
  doi = {10.1007/978-3-031-07750-0_24},
  url = {https://doi.org/10.1007/978-3-031-07750-0_24},
  researchr = {https://researchr.org/publication/MendozaLGH22},
  cites = {0},
  citedby = {0},
  pages = {255-265},
  booktitle = {Pattern Recognition - 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22-25, 2022, Proceedings},
  editor = {Osslan Osiris Vergara-Villegas and Vianey Guadalupe Cruz Sánchez and Juan Humberto Sossa Azuela and Jesús Ariel Carrasco-Ochoa and José Francisco Martínez Trinidad and José Arturo Olvera-López},
  volume = {13264},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-07750-0},
}