Abstract
We introduce CLAUSE-ATLAS, a resource of XIX and XX century English novels annotated automatically. This corpus, which contains 41,715 labeled clauses, allows to study stories as sequences of eventive, subjective and contextual information. We use it to investigate if recent large language models, in particular gpt-3.5-turbo with 16k tokens of context, constitute promising tools to annotate large amounts of data for literary studies (we show that this is the case). Moreover, by analyzing the annotations so collected, we find that our clause-based approach to literature captures structural patterns within books, as well as qualitative differences between them.
| Original language | English |
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| Title of host publication | Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) |
| Editors | Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue |
| Publisher | ELRA and ICCL |
| Pages | 3283-3296 |
| Number of pages | 14 |
| ISBN (Electronic) | 9782493814104 |
| Publication status | Published - 2024 |
| Event | Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024 - Hybrid, Torino, Italy Duration: 20 May 2024 → 25 May 2024 |
Conference
| Conference | Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024 |
|---|---|
| Country/Territory | Italy |
| City | Hybrid, Torino |
| Period | 20/05/24 → 25/05/24 |
Bibliographical note
Publisher Copyright:© 2024 ELRA Language Resource Association: CC BY-NC 4.0.
Keywords
- ChatGPT
- events
- literary resources
- LLM-based annotation
- narrative theory
- subjectivity