Published June 30, 2023 | Version v1
Conference paper Open

Transformer-Based Named Entity Recognition for Ancient Greek

  • 1. Leipzig University
  • 2. Furman University
  • 3. University of Southern Denmark
  • 1. University of Graz
  • 2. Belgrade Center for Digital Humanities
  • 3. Le Mans Université
  • 4. Digital Humanities im deutschsprachigen Raum

Description

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.

Files

YOUSEF_Tariq_Transformer_Based_Named_Entity_Recognition_for_.pdf

Additional details

Related works

Is part of
Book: 10.5281/zenodo.7961822 (DOI)