Semantic and Lexical Text Analyzer

  1. SERVET, Marcos 1
  2. MARTÍN, David 1
  3. PÉREZ, Daniel 1
  4. David Martín
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Revista:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Año de publicación: 2018

Volumen: 7

Número: 4

Páginas: 27-34

Tipo: Artículo

DOI: 10.14201/ADCAIJ2018742734 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Resumen

A multi-agent systems is described that analyzes texts from two points of view: on the one hand in a lexical and on the other in a semantic way. The main purpose of the system is the efficient processing of the inputted text in order to analyzing it, and as a result, outputting it in the right way. That means that after analyzing each phrase of the imputed text, the main agent will delete each wrong phrase. Agents will exchange messages trying to stably which phrase is correct or incorrect. The system will not only remove wrong phrases, it will also make a list with all the removed ones and the reasons that made the main agent discard them so the person that inputted the text can know why those phrases were in a wrong way.

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Fuente de los datos: Dialnet