1. Large Language Models and NER: better results with less work
- Author
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Thalken, Rosamond Elizabeth, Wilkens, Matthew, Mimno, David, Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, and Helling, Patrick
- Subjects
Paper ,Library & information science ,named entity recognition ,Media studies ,book reviews ,Computer science ,language models ,text mining and analysis ,text generation ,social media analysis and methods ,Poster ,natural language processing ,artificial intelligence and machine learning - Abstract
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.
- Published
- 2023
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