Metaphorshare: a dynamic collaborative repository of open metaphor datasets

Boisson, Joanne, Mehmood, Arif and Camacho-Collados, Jose 2025. Metaphorshare: a dynamic collaborative repository of open metaphor datasets. Presented at: 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, Albuquerque, New Mexico, 29 April - 4 May 2025. Published in: Dziri, Nouha, Ren, Sean (Ziang) and Diao, Shizhe eds. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations). Association for Computational Linguistics, pp. 509-521. 10.18653/v1/2025.naacl-demo.41

PDF - Published Version Available under License Creative Commons Attribution. Download (880kB)

Abstract

The metaphor studies community has developed numerous valuable labelled corpora in various languages over the years. Many of these resources are not only unknown to the NLP community, but are also often not easily shared among the researchers. Both in human sciences and in NLP, researchers could benefit from a centralised database of labelled resources, easily accessible and unified under an identical format. To facilitate this, we present MetaphorShare, a website to integrate metaphor datasets making them open and accessible. With this effort, our aim is to encourage researchers to share and upload more datasets in any language in order to facilitate metaphor studies and the development of future metaphor processing NLP systems. The website has four main functionalities: upload, download, search and label metaphor datasets. It is accessible at www.metaphorshare.com.

Item Type:	Conference or Workshop Item - published (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	Association for Computational Linguistics
ISBN:	9798891761919
Date of First Compliant Deposit:	27 January 2026
Last Modified:	27 Jan 2026 10:15
URI:	https://orca.cardiff.ac.uk/id/eprint/184218

Actions (repository staff only)

Edit Item