Automatic Generation of Abstracts in Scientific Articles Based on Natural Language Processing for Early Education Professionals and Speech Therapists

Diego Quisi-Peralta, Vladimir Robles-Bykbaev, Jorge Galan-Mena, Roberto García-Vélez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Currently, millions of articles are generated around the world on different topics or areas and published in different scientific databases. Generally, access to this repository uses search tools based on keywords that generate a list of results where sequential access is applied to generate an understanding that involves a great effort of search, classification, and selection of scientific articles within an area or specific topic. That is why, in this work, an intelligent computer system is presented that allows us to automatically obtain summaries of articles based on search keywords, which is ordered hierarchically according to the content belonging to the search keywords. Finally, this work is aimed at speech therapists and initial educators so they can have new information about tools, new trends, applications, methodologies, etc. and in turn be supportive or helpful in classrooms or speech therapies.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
EditorsTareq Ahram
PublisherSpringer
Pages258-263
Number of pages6
ISBN (Print)9783030513276
DOIs
StatePublished - 2021
EventAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1213 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country/TerritoryUnited States
CitySan Diego
Period16/07/2020/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Abstracts
  • Machine learning
  • Natural language processing
  • Ontology
  • Speech therapists

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