License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2015.98
URN: urn:nbn:de:0030-drops-52838
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/5283/
Karsdorp, Folgert ;
Kestemont, Mike ;
Schöch, Christof ;
van den Bosch, Antal
The Love Equation: Computational Modeling of Romantic Relationships in French Classical Drama
Abstract
We report on building a computational model of romantic relationships in a corpus of historical literary texts. We frame this task as a ranking problem in which, for a given character, we try to assign the highest rank to the character with whom (s)he is most likely to be romantically involved. As data we use a publicly available corpus of French 17th and 18th century plays (http://www.theatre-classique.fr/) which is well suited for this type of analysis because of the rich markup it provides (e.g. indications of characters speaking). We focus on distributional, so-called second-order features, which capture how speakers are contextually embedded in the texts. At a mean reciprocal rate (MRR) of 0.9 and MRR@1 of 0.81, our results are encouraging, suggesting that this approach might be successfully extended to other forms of social interactions in literature, such as antagonism or social power relations.
BibTeX - Entry
@InProceedings{karsdorp_et_al:OASIcs:2015:5283,
author = {Folgert Karsdorp and Mike Kestemont and Christof Sch{\"o}ch and Antal van den Bosch},
title = {{The Love Equation: Computational Modeling of Romantic Relationships in French Classical Drama}},
booktitle = {6th Workshop on Computational Models of Narrative (CMN 2015)},
pages = {98--107},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-939897-93-4},
ISSN = {2190-6807},
year = {2015},
volume = {45},
editor = {Mark A. Finlayson and Ben Miller and Antonio Lieto and Remi Ronfard},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2015/5283},
URN = {urn:nbn:de:0030-drops-52838},
doi = {10.4230/OASIcs.CMN.2015.98},
annote = {Keywords: French drama, social relations, neural network, representation learning}
}
Keywords: |
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French drama, social relations, neural network, representation learning |
Collection: |
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6th Workshop on Computational Models of Narrative (CMN 2015) |
Issue Date: |
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2015 |
Date of publication: |
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14.08.2015 |