2026-08-10T19:43:06Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:5283 2024-03-06T10:29:44Z ddc:004 open_access

The Love Equation: Computational Modeling of Romantic Relationships in French Classical Drama Karsdorp, Folgert Kestemont, Mike Schöch, Christof van den Bosch, Antal French drama social relations neural network representation learning 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Folgert Karsdorp and Mike Kestemont and Christof Schöch and Antal van den Bosch 2015 Is Part Of OASIcs, Volume 45, 6th Workshop on Computational Models of Narrative (CMN 2015) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.CMN.2015.98 urn:nbn:de:0030-drops-52838 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2015.98 eng https://creativecommons.org/licenses/by/3.0/legalcode