A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry

Michael Toker, Oren Mishali, Ophir Münz-Manor, Benny Kimelfeld, Yonatan Belinkov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There is a large volume of late antique and medieval Hebrew texts. They represent a crucial linguistic and cultural bridge between Biblical and modern Hebrew. Poetry is prominent in these texts and one of its main characteristics is the frequent use of metaphor. Distinguishing figurative and literal language use is a major task for scholars of the Humanities, especially in the fields of literature, linguistics, and hermeneutics. This paper presents a new, challenging dataset of late antique and medieval Hebrew poetry with expert annotations of metaphor, as well as some baseline results, which we hope will facilitate further research in this area.

Original languageEnglish
Title of host publicationEACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
EditorsYvette Graham, Matthew Purver, Matthew Purver
PublisherAssociation for Computational Linguistics (ACL)
Pages443-453
Number of pages11
ISBN (Electronic)9798891760899
StatePublished - 2024
Event18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 - St. Julian�s, Malta
Duration: 17 Mar 202422 Mar 2024

Publication series

NameEACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Volume2

Conference

Conference18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024
Country/TerritoryMalta
CitySt. Julian�s
Period17/03/2422/03/24

Bibliographical note

Publisher Copyright:
© 2024 Association for Computational Linguistics.

Fingerprint

Dive into the research topics of 'A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry'. Together they form a unique fingerprint.

Cite this