Extractive automatic text summarization based on lexical-semantic keywords

Á Hernández-Castañeda, RA García-Hernández… - IEEE …, 2020 - ieeexplore.ieee.org
The automatic text summarization (ATS) task consists in automatically synthesizing a
document to provide a condensed version of it. Creating a summary requires not only …

Language-independent extractive automatic text summarization based on automatic keyword extraction

Á Hernández-Castañeda, RA García-Hernández… - Computer Speech & …, 2022 - Elsevier
This study proposes a language and domain independent approach for automatic extractive
text summarization (EATS) tasks, which is based on a clustering scheme supported by a …

COMPENDIUM: A text summarization system for generating abstracts of research papers

E Lloret, MT Romá-Ferri, M Palomar - Data & Knowledge Engineering, 2013 - Elsevier
This article analyzes the appropriateness of a text summarization system, COMPENDIUM,
for generating abstracts of biomedical papers. Two approaches are suggested: an extractive …

COMPENDIUM: a text summarisation tool for generating summaries of multiple purposes, domains, and genres

E Lloret, M Palomar - Natural Language Engineering, 2013 - cambridge.org
In this paper, we present a Text Summarisation tool, compendium, capable of generating the
most common types of summaries. Regarding the input, single-and multi-document …

[HTML][HTML] Aislamiento social obligatorio: un análisis de sentimientos mediante machine learning

CA Arango Pastrana, CF Osorio Andrade - Suma de Negocios, 2021 - scielo.org.co
Para reducir la tasa de contagio por COVID-19, el Gobierno colombiano ha adoptado, entre
otras medidas, el aislamiento obligatorio. Esta medida ha generado opiniones divididas …

[图书][B] Text summarisation based on human language technologies and its applications

E Lloret - 2011 - rua.ua.es
Human Language Technologies (HLT) cover a broad range of activities with the final goal of
enabling people to communicate with machines by using natural communication skills …

Graph ranking on maximal frequent sequences for single extractive text summarization

Y Ledeneva, RA García-Hernández… - … Linguistics and Intelligent …, 2014 - Springer
We suggest a new method for the task of extractive text summarization using graph-based
ranking algorithms. The main idea of this paper is to rank Maximal Frequent Sequences …

EM clustering algorithm for automatic text summarization

Y Ledeneva, RG Hernández, RM Soto… - Advances in Artificial …, 2011 - Springer
Automatic text summarization has emerged as a technique for accessing only to useful
information. In order to known the quality of the automatic summaries produced by a system …

Determining the importance of sentence position for automatic text summarization

GAM Mendoza, Y Ledeneva… - Journal of Intelligent …, 2020 - content.iospress.com
Abstract The methods of Automatic Extractive Summarization (AES) uses the features of the
sentences of the original text to extract the most important information that will be considered …

[HTML][HTML] Gestión pública y respaldo social en Facebook en escenarios de pandemia

EA Espinal, CF Osorio Andrade… - Revista Economía y …, 2023 - scielo.senescyt.gob.ec
La participación de los usuarios de redes sociales en el control político de la gestión pública
del presidente de Colombia por decisiones normativas relacionadas con el arribo del …