Published June 30, 2023
| Version v1
Conference paper
Open
Large Language Models and NER: better results with less work
- 1. Cornell University, United States of America
Contributors
Data managers:
Hosting institution:
- 1. University of Graz
- 2. Belgrade Center for Digital Humanities
- 3. Le Mans Université
- 4. Digital Humanities im deutschsprachigen Raum
Description
Our work considers how new advances in pretrained text-to-text generation models might make named entity recognition more accurate, flexible, and streamlined for the digital humanist. We provide an example of how text-to-text generative models can identify mentions of characters, authors, and book names within Goodreads book reviews.
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Additional details
Related works
- Is part of
- Book: 10.5281/zenodo.7961822 (DOI)
- Is supplemented by
- Poster: 10.5281/zenodo.8228506 (DOI)