Cargando…
Literary Natural Language Generation with Psychological Traits
The area of Computational Creativity has received much attention in recent years. In this paper, within this framework, we propose a model for the generation of literary sentences in Spanish, which is based on statistical algorithms, shallow parsing and the automatic detection of personality feature...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298195/ http://dx.doi.org/10.1007/978-3-030-51310-8_18 |
_version_ | 1783547167326076928 |
---|---|
author | Moreno-Jiménez, Luis-Gil Torres-Moreno, Juan-Manuel Wedemann, Roseli S. |
author_facet | Moreno-Jiménez, Luis-Gil Torres-Moreno, Juan-Manuel Wedemann, Roseli S. |
author_sort | Moreno-Jiménez, Luis-Gil |
collection | PubMed |
description | The area of Computational Creativity has received much attention in recent years. In this paper, within this framework, we propose a model for the generation of literary sentences in Spanish, which is based on statistical algorithms, shallow parsing and the automatic detection of personality features of characters of well known literary texts. We present encouraging results of the analysis of sentences generated by our methods obtained with human inspection. |
format | Online Article Text |
id | pubmed-7298195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72981952020-06-17 Literary Natural Language Generation with Psychological Traits Moreno-Jiménez, Luis-Gil Torres-Moreno, Juan-Manuel Wedemann, Roseli S. Natural Language Processing and Information Systems Article The area of Computational Creativity has received much attention in recent years. In this paper, within this framework, we propose a model for the generation of literary sentences in Spanish, which is based on statistical algorithms, shallow parsing and the automatic detection of personality features of characters of well known literary texts. We present encouraging results of the analysis of sentences generated by our methods obtained with human inspection. 2020-05-26 /pmc/articles/PMC7298195/ http://dx.doi.org/10.1007/978-3-030-51310-8_18 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Moreno-Jiménez, Luis-Gil Torres-Moreno, Juan-Manuel Wedemann, Roseli S. Literary Natural Language Generation with Psychological Traits |
title | Literary Natural Language Generation with Psychological Traits |
title_full | Literary Natural Language Generation with Psychological Traits |
title_fullStr | Literary Natural Language Generation with Psychological Traits |
title_full_unstemmed | Literary Natural Language Generation with Psychological Traits |
title_short | Literary Natural Language Generation with Psychological Traits |
title_sort | literary natural language generation with psychological traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298195/ http://dx.doi.org/10.1007/978-3-030-51310-8_18 |
work_keys_str_mv | AT morenojimenezluisgil literarynaturallanguagegenerationwithpsychologicaltraits AT torresmorenojuanmanuel literarynaturallanguagegenerationwithpsychologicaltraits AT wedemannroselis literarynaturallanguagegenerationwithpsychologicaltraits |