Automatic Extractive Single Document Summarization: A Systematic Mapping
Automatic Extractive Single Document Summarization (AESDS) is a research area that aims to create a condensed version of a document with the most relevant information; it acquires more importance daily due to the need of users to obtain information on documents published on the Internet quickly. In...
Main Authors: | Yip-Herrera, Juan-David, Mendoza-Becerra, Martha-Eliana, Rodríguez, Francisco-Javier |
---|---|
格式: | Online |
语言: | eng |
出版: |
Universidad Pedagógica y Tecnológica de Colombia
2023
|
主题: | |
在线阅读: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15232 |
- 相似书籍
-
Initialization and Local Search Methods Applied to the Set Covering Problem: A Systematic Mapping
由: Quemá-Taimbud, Nelson-Enrique, et al.
出版: (2023) -
DevOps in Industry 4.0: A Systematic Mapping
由: Suescún-Monsalve, Elizabeth, et al.
出版: (2021) -
Semi-Automatic Mapping Technique Using Snowballing to Support Massive Literature Searches in Software Engineering
由: Suescún-Monsalve, Elizabeth, et al.
出版: (2022) -
Characterization of hen eggs for the designing of an automatic classification system
由: Cáceres, Daniel Fernando Velazco, et al.
出版: (2012) -
Strategy Based on Computer-Supported Collaborative Learning to Form Workgroups Automatically in an Introductory Programming Course (CS1)
由: Llanos-Mosquera, Jose-Miguel, et al.
出版: (2021)