Amanote Research

Amanote Research

    RegisterSign In

Extractive Single Document Summarization Using Binary Differential Evolution: Optimization of Different Sentence Quality Measures

PLoS ONE - United States
doi 10.1371/journal.pone.0223477
Full Text
Open PDF
Abstract

Available in full text

Categories
Multidisciplinary
Date

November 14, 2019

Authors
Naveen SainiSriparna SahaDhiraj ChakrabortyPushpak Bhattacharyya
Publisher

Public Library of Science (PLoS)


Related search

The Role of Statistical and Semantic Features in Single-Document Extractive Summarization

Artificial Intelligence Research
2013English

A Topic-Based Sentence Representation for Extractive Text Summarization

2019English

Dependency-Based Sentence Alignment for Multiple Document Summarization

2004English

RIN-Sum: A System for Query-Specific Multi-Document Extractive Summarization

International Journal of Advanced Computer Science and Applications
Computer Science
2017English

AMDS: Sentence Extraction Based Proficient Framework for Multi-Document Summarization

2013English

Extractive Text Summarization Using Genetic Clustering Algorithm

IJARCCE
2016English

Sentence Ordering With Manifold-Based Classification in Multi-Document Summarization

2006English

Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization

2019English

Cross-Language Text Summarization Using Sentence and Multi-Sentence Compression

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy