Transformer-Based Named Entity Recognition for Ancient Greek

Transformer-Based Named Entity Recognition for Ancient Greek. Yousef, T., Palladino, C., & Janicke, S. In Digital Humanities 2023: Book of Abstracts, pages 420–422, Graz, 2023.

Paper abstract bibtex

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.

@inproceedings{yousef_transformer-based_2023,
	address = {Graz},
	title = {Transformer-{Based} {Named} {Entity} {Recognition} for {Ancient} {Greek}},
	url = {https://zenodo.org/records/8107629},
	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.},
	language = {eng},
	urldate = {2024-01-04},
	booktitle = {Digital {Humanities} 2023: {Book} of {Abstracts}},
	author = {Yousef, Tariq and Palladino, Chiara and Janicke, Stefan},
	year = {2023},
	keywords = {Ancient Greek, Computer science, Cultural studies, Humanities computing, Linguistics, Long Presentation, Named Entities Recognition, Paper, Transformer models, and methods, annotation structures, natural language processing, systems},
	pages = {420--422},
}

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