An Indicator-based Multi-Objective Optimization Approach Applied to Extractive Multi-Document Text Summarization-Reference-Cited by-同舟云学术

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An Indicator-based Multi-Objective Optimization Approach Applied to Extractive Multi-Document Text Summarization

Published:2019-08 Issue:08 Volume:17 Page:1291-1299
ISSN:1548-0992
Container-title:IEEE Latin America Transactions
language:
Short-container-title:IEEE Latin Am. Trans.

Author:

Sanchez-Gomez Jesus M.^ORCID,Vega-Rodriguez Miguel A.^ORCID,Perez Carlos J.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/9907/8932328/08932338.pdf?arnumber=8932338

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Long Text Summarization and Key Information Extraction in a Multi-Task Learning Framework;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Topic Modeling Based on OWA Aggregation to Improve the Semantic Focusing on Relevant Information Extraction Problems;Studies in Big Data;2023

3. Lattice abstraction-based content summarization using baseline abstractive lexical chaining progress;International Journal of Information Technology;2022-10-15

4. Data Analytics and Techniques;ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY;2022-10-08

5. Effects on Time and Quality of Short Text Clustering during Real-Time Presentations;IEEE Latin America Transactions;2021-08

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