Daidalos: NER for Literary Studies on Latin and Ancient Greek Texts. Beyer, A. June, 2024. Session 1a - Named Entities and Linked Open Data for the Ancient World
Paper abstract bibtex 1 download The talk presents Daidalos, an NLP infrastructure designed to support researchers in Classical Philology and related disciplines in applying natural language processing methods to Latin and Ancient Greek texts. The project addresses the unique challenges of processing ancient languages, including discontinuous, nested, and overlapping entity spans, ambiguity, and complex linguistic phenomena such as metonymy and ellipsis. Daidalos offers a platform integrating multiple NLP methods—such as Named Entity Recognition (NER), part-of-speech tagging, and sentiment analysis—alongside customizable pipelines tailored to literary research questions. The infrastructure emphasizes transparency and sustainability through model cards, data sheets, and well-documented evaluations. It supports both standalone NER applications and integration into broader research pipelines, enabling tasks like identifying implicit references in historiographical texts. In teaching, Daidalos promotes digital literacies via curated Jupyter Notebooks, model cards, and datasheets, facilitating accessible learning. The project also explores the evolving role of generative AI in Classics, questioning the necessity of traditional taggers in light of emerging large language models. Overall, Daidalos aims to foster a community of practice that combines methodological rigor with open science principles.
@misc{beyer_daidalos_2024,
address = {Leipzig},
title = {Daidalos: {NER} for {Literary} {Studies} on {Latin} and {Ancient} {Greek} {Texts}},
url = {https://zenodo.org/records/12582628},
abstract = {The talk presents Daidalos, an NLP infrastructure designed to support researchers in Classical Philology and related disciplines in applying natural language processing methods to Latin and Ancient Greek texts. The project addresses the unique challenges of processing ancient languages, including discontinuous, nested, and overlapping entity spans, ambiguity, and complex linguistic phenomena such as metonymy and ellipsis. Daidalos offers a platform integrating multiple NLP methods—such as Named Entity Recognition (NER), part-of-speech tagging, and sentiment analysis—alongside customizable pipelines tailored to literary research questions. The infrastructure emphasizes transparency and sustainability through model cards, data sheets, and well-documented evaluations. It supports both standalone NER applications and integration into broader research pipelines, enabling tasks like identifying implicit references in historiographical texts. In teaching, Daidalos promotes digital literacies via curated Jupyter Notebooks, model cards, and datasheets, facilitating accessible learning. The project also explores the evolving role of generative AI in Classics, questioning the necessity of traditional taggers in light of emerging large language models. Overall, Daidalos aims to foster a community of practice that combines methodological rigor with open science principles.},
author = {Beyer, Andrea},
month = jun,
year = {2024},
note = {Session 1a - Named Entities and Linked Open Data for the Ancient World},
keywords = {Classics, Community of Practice, Computational Literary Studies, Daidalos, Infrastruktur, NER, NLP, genAI},
}
Downloads: 1
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