1. Transformer-Based Named Entity Recognition for Ancient Greek
- Author
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Yousef, Tariq, Palladino, Chiara, Jänicke, Stefan, Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, and Helling, Patrick
- Subjects
Paper ,and methods ,Long Presentation ,Named Entities Recognition ,Transformer models ,annotation structures ,Linguistics ,Cultural studies ,Computer science ,Humanities computing ,FOS: Languages and literature ,systems ,Ancient Greek ,natural language processing - Abstract
This paper presents our work on training two automatic NER models for ancient Greek using transformer-based models. The models classify the entities into three categories, namely, Person, Location, and Miscellaneous and achieved promising results on test and evaluation datasets.
- Published
- 2022
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