Explotación y tratamiento de la información disponible en Internet para la anotación y generación de textos adaptados al usuario

  1. Elena Lloret
  2. Yoan Gutiérrez
  3. Fernando S. Peregrino
  4. José Manuel Gómez
  5. Antonio Guillén
  6. Fernando Llopis
Journal:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Year of publication: 2015

Issue: 55

Pages: 177-180

Type: Article

DIALNET GOOGLE SCHOLAR lock_openRUA editor

More publications in: Procesamiento del lenguaje natural

Abstract

The great amount of available online information is making increasingly more and more difficult that users can assimilate such as volume of information, being this almost inconceivable without using Human Language Technologies (HLT) tools, for instance, information retrieval systems or automatic summarisers. The interest of this emerging project (and therefore its main goal) is precisely motivated by the need to define and create a HLT-based technological framework, able to process and semantically annotate all this information, allowing also the automatic generation of information, and making the type of information to be presented more flexible by adapting it to the users' needs. This article provides an overview of this project, focusing on the proposed architecture and its current status.

Bibliographic References

  • Fernández, J., J. M. Gómez, y P. Martínez-Barco. 2010. Evaluación de sistemas de recuperación de información web sobre dominios restringidos. Procesamiento del lenguaje natural, 45:273-276.
  • Gutiérrez, Y., Y. Castaneda, A. González, R. Estrada, D. D Piug, J. I. Abreu, R. Pérez, A. Fernández Orquin, A. Montoyo, R. Muñoz, y F. Camara. 2013. UMCC DLSI: Reinforcing a ranking algorithm with sense frequencies and multidimensional semantic resources to solve multilingual word sense disambiguation. Proc. of SemEval, paginas 241-249.
  • Vila, K., A. Fernández, J. M. Gómez, A. Ferrández, y J. Díaz. 2013. Noisetolerance feasibility for restricted-domain information retrieval systems. Data & Knowledge Engineering, 86:276-294.
  • Vodolazova, T., E. Lloret, R. Muñoz, y M. Palomar. 2013. Extractive text summarization: Can we use the same techniques for any text? En Natural Language Processing and Information Systems. Springer, páginas 164-175.
Data source: Dialnet