SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations

Tan, X., Lyu, C., Umer, H.M. et al. (7 more authors) (2025) SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations. In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations). 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations), 29 Apr - 04 May 2025, New Mexico, USA. Association for Computational Linguistics ISBN 979-8-89176-191-9

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Tan, X.
  • Lyu, C.
  • Umer, H.M.
  • Khan, S.
  • Parvatham, M.
  • Arthurs, L.
  • Cullen, S.
  • Wilson, S.
  • Jhumka, A.
  • Pergola, G.
Copyright, Publisher and Additional Information:

©2025 Association for Computational Linguistics. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Accepted: 3 March 2025
  • Published: April 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
Dorset Police *KRISTAL*
79666
Depositing User: Symplectic Publications
Date Deposited: 21 May 2025 11:29
Last Modified: 21 May 2025 11:29
Published Version: https://aclanthology.org/2025.naacl-demo.31/
Status: Published
Publisher: Association for Computational Linguistics
Open Archives Initiative ID (OAI ID):

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