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Automatic Identification of Character Types from Film Dialogs
We study the detection of character types from fictional dialog texts such as screenplays. As approaches based on the analysis of utterances’ linguistic properties are not sufficient to identify all fictional character types, we develop an integrative approach that complements linguistic analysis wi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652896/ https://www.ncbi.nlm.nih.gov/pubmed/29118463 http://dx.doi.org/10.1080/08839514.2017.1289311 |
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author | Skowron, Marcin Trapp, Martin Payr, Sabine Trappl, Robert |
author_facet | Skowron, Marcin Trapp, Martin Payr, Sabine Trappl, Robert |
author_sort | Skowron, Marcin |
collection | PubMed |
description | We study the detection of character types from fictional dialog texts such as screenplays. As approaches based on the analysis of utterances’ linguistic properties are not sufficient to identify all fictional character types, we develop an integrative approach that complements linguistic analysis with interactive and communication characteristics, and show that it can improve the identification performance. The interactive characteristics of fictional characters are captured by the descriptive analysis of semantic graphs weighted by linguistic markers of expressivity and social role. For this approach, we introduce a new data set of action movie character types with their corresponding sequences of dialogs. The evaluation results demonstrate that the integrated approach outperforms baseline approaches on the presented data set. Comparative in-depth analysis of a single screenplay leads on to the discussion of possible limitations of this approach and to directions for future research. |
format | Online Article Text |
id | pubmed-5652896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-56528962017-11-06 Automatic Identification of Character Types from Film Dialogs Skowron, Marcin Trapp, Martin Payr, Sabine Trappl, Robert Appl Artif Intell Articles We study the detection of character types from fictional dialog texts such as screenplays. As approaches based on the analysis of utterances’ linguistic properties are not sufficient to identify all fictional character types, we develop an integrative approach that complements linguistic analysis with interactive and communication characteristics, and show that it can improve the identification performance. The interactive characteristics of fictional characters are captured by the descriptive analysis of semantic graphs weighted by linguistic markers of expressivity and social role. For this approach, we introduce a new data set of action movie character types with their corresponding sequences of dialogs. The evaluation results demonstrate that the integrated approach outperforms baseline approaches on the presented data set. Comparative in-depth analysis of a single screenplay leads on to the discussion of possible limitations of this approach and to directions for future research. Taylor & Francis 2016-11-25 2016-11-25 /pmc/articles/PMC5652896/ /pubmed/29118463 http://dx.doi.org/10.1080/08839514.2017.1289311 Text en Published with license by Taylor & Francis. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Articles Skowron, Marcin Trapp, Martin Payr, Sabine Trappl, Robert Automatic Identification of Character Types from Film Dialogs |
title | Automatic Identification of Character Types from Film Dialogs |
title_full | Automatic Identification of Character Types from Film Dialogs |
title_fullStr | Automatic Identification of Character Types from Film Dialogs |
title_full_unstemmed | Automatic Identification of Character Types from Film Dialogs |
title_short | Automatic Identification of Character Types from Film Dialogs |
title_sort | automatic identification of character types from film dialogs |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652896/ https://www.ncbi.nlm.nih.gov/pubmed/29118463 http://dx.doi.org/10.1080/08839514.2017.1289311 |
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