@inproceedings{bizzoni-etal-2024-matter-perspective,
title = "A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality",
author = "Bizzoni, Yuri and
Moreira, Pascale Feldkamp and
Lassen, Ida Marie S. and
Thomsen, Mads Rosendahl and
Nielbo, Kristoffer",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.71",
pages = "789--800",
abstract = "Studies on literary quality have constantly stimulated the interest of critics, both in theoretical and empirical fields. To examine the perceived quality of literary works, some approaches have focused on data annotated through crowd-sourcing platforms, and others relied on available expert annotated data. In this work, we contribute to the debate by presenting a dataset collecting quality judgments on 9,000 19th and 20th century English-language literary novels by 3,150 predominantly Anglophone authors. We incorporate expert opinions and crowd-sourced annotations to allow comparative analyses between different literary quality evaluations. We also provide several textual metrics chosen for their potential connection with literary reception and engagement. While a large part of the texts is subjected to copyright, we release quality and reception measures together with stylometric and sentiment data for each of the 9,000 novels to promote future research and comparison.",
}
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%0 Conference Proceedings
%T A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality
%A Bizzoni, Yuri
%A Moreira, Pascale Feldkamp
%A Lassen, Ida Marie S.
%A Thomsen, Mads Rosendahl
%A Nielbo, Kristoffer
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F bizzoni-etal-2024-matter-perspective
%X Studies on literary quality have constantly stimulated the interest of critics, both in theoretical and empirical fields. To examine the perceived quality of literary works, some approaches have focused on data annotated through crowd-sourcing platforms, and others relied on available expert annotated data. In this work, we contribute to the debate by presenting a dataset collecting quality judgments on 9,000 19th and 20th century English-language literary novels by 3,150 predominantly Anglophone authors. We incorporate expert opinions and crowd-sourced annotations to allow comparative analyses between different literary quality evaluations. We also provide several textual metrics chosen for their potential connection with literary reception and engagement. While a large part of the texts is subjected to copyright, we release quality and reception measures together with stylometric and sentiment data for each of the 9,000 novels to promote future research and comparison.
%U https://aclanthology.org/2024.lrec-main.71
%P 789-800
Markdown (Informal)
[A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality](https://aclanthology.org/2024.lrec-main.71) (Bizzoni et al., LREC-COLING 2024)
ACL