A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality
Yuri Bizzoni, Pascale Feldkamp Moreira, Ida Marie S. Lassen, Mads Rosendahl Thomsen, Kristoffer Nielbo
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.- Anthology ID:
- 2024.lrec-main.71
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 789–800
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.71
- DOI:
- Cite (ACL):
- Yuri Bizzoni, Pascale Feldkamp Moreira, Ida Marie S. Lassen, Mads Rosendahl Thomsen, and Kristoffer Nielbo. 2024. A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 789–800, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality (Bizzoni et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.71.pdf