@inbook{fff8343e0f424a9b81139dd6eb0095da,
title = "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.",
keywords = "French drama, social relations, social network, neural network, representation learning",
author = "F.B. Karsdorp and Mike Kestemont and Christof Sch{\"o}ch and {van den Bosch}, Antal",
year = "2015",
month = may,
doi = "10.4230/OASIcs.CMN.2015.98",
language = "English",
series = "OpenAccess Series in Informatics",
publisher = "OASICS Schloss Dagstuhl – Leibniz-Zentrum f{\"u}r Informatik, Dagstuhl Publishing, Germany",
pages = "98–107",
editor = "Mark Finlayson and Ben Miller and Antonio Lieto and Remi Ronfard",
booktitle = "Proceedings of the Workshop on Computational Models of Narrative (CMN{\textquoteright}15)",
}