A multilingual benchmark to capture olfactory situations over time

Menini, Stefano, Paccosi, Teresa, Tonelli, Sara et al. (7 more authors) (2022) A multilingual benchmark to capture olfactory situations over time. In: Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change. Association for Computational Linguistics (ACL) , pp. 1-10.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Menini, Stefano
  • Paccosi, Teresa
  • Tonelli, Sara
  • Van Erp, Marieke
  • Leemans, Inger
  • Lisena, Pasquale
  • Troncy, Raphael
  • Tullett, William ORCID logo https://orcid.org/0000-0002-8975-8031
  • Hürriyetoglu, Ali
  • Dijkstra, Ger
Dates:
  • Published: 27 May 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Arts and Humanities (York) > History (York)
Depositing User: Pure (York)
Date Deposited: 22 Jun 2023 08:40
Last Modified: 16 Oct 2024 11:23
Published Version: https://doi.org/10.18653/v1/2022.lchange-1.1
Status: Published
Publisher: Association for Computational Linguistics (ACL)
Identification Number: 10.18653/v1/2022.lchange-1.1
Open Archives Initiative ID (OAI ID):

Download

Published Version

Filename: 2022.lchange_1.1.pdf

Description: A Multilingual Benchmark to Capture Olfactory Situations over Time

Licence: CC-BY 2.5

CLICK TO DOWNLOAD [thumbnail of A Multilingual Benchmark to Capture Olfactory Situations over Time]

Export

Statistics


CORE (COnnecting REpositories)