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Communication Dans Un Congrès Année : 2024

Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution

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Recent approaches to automatically detect the speaker of an utterance of direct speech often disregard general information about characters in favor of local information found in the context, such as surrounding mentions of entities. In this work, we explore stylistic representations of characters built by encoding their quotes with off-the-shelf pretrained Authorship Verification models in a large corpus of English novels (the Project Dialogism Novel Corpus). Results suggest that the combination of stylistic and topical information captured in some of these models accurately distinguish characters among each other, but does not necessarily improve over semantic-only models when attributing quotes. However, these results vary across novels and more investigation of stylometric models particularly tailored for literary texts and the study of characters should be conducted.
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hal-04427968 , version 1 (31-01-2024)

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Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara. Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution. 18th Conference of the European Chapter of the Association for Computational Linguistics(.EACL 2024 ) workshop LaTeCH-CLfL, Mar 2024, St Julian’s, Malta. ⟨hal-04427968⟩
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