@inproceedings{boisson-etal-2025-metaphorshare,
title = "{METAPHORSHARE}: A Dynamic Collaborative Repository of Open Metaphor Datasets",
author = "Boisson, Joanne and
Mehmood, Arif and
Camacho-Collados, Jose",
editor = "Dziri, Nouha and
Ren, Sean (Xiang) and
Diao, Shizhe",
booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
month = apr,
year = "2025",
address = "Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.naacl-demo.41/",
doi = "10.18653/v1/2025.naacl-demo.41",
pages = "509--521",
ISBN = "979-8-89176-191-9",
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."
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<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.</abstract>
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%0 Conference Proceedings
%T METAPHORSHARE: A Dynamic Collaborative Repository of Open Metaphor Datasets
%A Boisson, Joanne
%A Mehmood, Arif
%A Camacho-Collados, Jose
%Y Dziri, Nouha
%Y Ren, Sean (Xiang)
%Y Diao, Shizhe
%S Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)
%D 2025
%8 April
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-191-9
%F boisson-etal-2025-metaphorshare
%X 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.
%R 10.18653/v1/2025.naacl-demo.41
%U https://aclanthology.org/2025.naacl-demo.41/
%U https://doi.org/10.18653/v1/2025.naacl-demo.41
%P 509-521
Markdown (Informal)
[METAPHORSHARE: A Dynamic Collaborative Repository of Open Metaphor Datasets](https://aclanthology.org/2025.naacl-demo.41/) (Boisson et al., NAACL 2025)
ACL
- Joanne Boisson, Arif Mehmood, and Jose Camacho-Collados. 2025. METAPHORSHARE: A Dynamic Collaborative Repository of Open Metaphor Datasets. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations), pages 509–521, Albuquerque, New Mexico. Association for Computational Linguistics.