@inproceedings{cooper-etal-2021-tecnologica,
title = "{`}Tecnologica cosa{'}: Modeling Storyteller Personalities in Boccaccio{'}s {`}Decameron{'}",
author = "Cooper, A. and
Antoniak, Maria and
De Sa, Christopher and
Migiel, Marilyn and
Mimno, David",
editor = "Degaetano-Ortlieb, Stefania and
Kazantseva, Anna and
Reiter, Nils and
Szpakowicz, Stan",
booktitle = "Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic (online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.latechclfl-1.17",
doi = "10.18653/v1/2021.latechclfl-1.17",
pages = "147--153",
abstract = "We explore Boccaccio{'}s \textit{Decameron} to see how digital humanities tools can be used for tasks that have limited data in a language no longer in contemporary use: medieval Italian. We focus our analysis on the question: Do the different storytellers in the text exhibit distinct personalities? To answer this question, we curate and release a dataset based on the authoritative edition of the text. We use supervised classification methods to predict storytellers based on the stories they tell, confirming the difficulty of the task, and demonstrate that topic modeling can extract thematic storyteller {``}profiles.{''}",
}
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%0 Conference Proceedings
%T ‘Tecnologica cosa’: Modeling Storyteller Personalities in Boccaccio’s ‘Decameron’
%A Cooper, A.
%A Antoniak, Maria
%A De Sa, Christopher
%A Migiel, Marilyn
%A Mimno, David
%Y Degaetano-Ortlieb, Stefania
%Y Kazantseva, Anna
%Y Reiter, Nils
%Y Szpakowicz, Stan
%S Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic (online)
%F cooper-etal-2021-tecnologica
%X We explore Boccaccio’s Decameron to see how digital humanities tools can be used for tasks that have limited data in a language no longer in contemporary use: medieval Italian. We focus our analysis on the question: Do the different storytellers in the text exhibit distinct personalities? To answer this question, we curate and release a dataset based on the authoritative edition of the text. We use supervised classification methods to predict storytellers based on the stories they tell, confirming the difficulty of the task, and demonstrate that topic modeling can extract thematic storyteller “profiles.”
%R 10.18653/v1/2021.latechclfl-1.17
%U https://aclanthology.org/2021.latechclfl-1.17
%U https://doi.org/10.18653/v1/2021.latechclfl-1.17
%P 147-153
Markdown (Informal)
[‘Tecnologica cosa’: Modeling Storyteller Personalities in Boccaccio’s ‘Decameron’](https://aclanthology.org/2021.latechclfl-1.17) (Cooper et al., LaTeCHCLfL 2021)
ACL
- A. Cooper, Maria Antoniak, Christopher De Sa, Marilyn Migiel, and David Mimno. 2021. ‘Tecnologica cosa’: Modeling Storyteller Personalities in Boccaccio’s ‘Decameron’. In Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 147–153, Punta Cana, Dominican Republic (online). Association for Computational Linguistics.