Impact Factor 2.089

The world's most-cited Multidisciplinary Psychology journal

Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Psychol. | doi: 10.3389/fpsyg.2018.01792

Exploring the Potential of Concept Associations for the Creative Generation of Linguistic Artifacts: a Case Study with Riddles and Rhetorical Figures

  • 1Facultad de Informática. Departamento de Ingeniería del Software e Inteligencia Artificial, Complutense University of Madrid, Spain

Automatic generation of linguistic artifacts is a problem that has been sporadically tackled over the years. The main goal of this paper is to explore how concept associations can be useful from a computational creativity point of view to generate some of these artifacts. We present an approach where finding associations between concepts that would not usually be considered as related (for example life and politics or diamond and concrete) could be the seed for the generation of creative and surprising linguistic artifacts such as rhetorical figures (life is like politics) and riddles (what is as hard as concrete?). The quality and appropriateness of the generated figures and riddles has been evaluated using human evaluators, and the results show that the concept associations obtained are useful for creating these kinds of creative artifacts.

Keywords: Concept associations, Computational Creativity, rhetorical figures, Riddles, metaphor, simile, analogy

Received: 20 Mar 2018; Accepted: 04 Sep 2018.

Edited by:

Ana-Maria Olteteanu, Freie Universität Berlin, Germany

Reviewed by:

Davide Marchiori, University of Southern Denmark Odense, Denmark
Thora Tenbrink, Bangor University, United Kingdom  

Copyright: © 2018 Gilmartín, Hervás Ballesteros, Méndez Pozo and Galvan Calleja. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: PhD. Virginia F. Gilmartín, Complutense University of Madrid, Facultad de Informática. Departamento de Ingeniería del Software e Inteligencia Artificial, Madrid, Spain,