Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion

Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran


Abstract
Hope is considered significant for the well-being, recuperation and restoration of human life by health professionals. Hope speech reflects the belief that one can discover pathways to their desired objectives and become roused to utilise those pathways. To encourage research in natural language processing towards positive reinforcement approach, we created a hope speech detection dataset. This paper reports on the shared task of hope speech detection for Tamil, English, and Malayalam languages. The shared task was conducted as a part of the EACL 2021 workshop on Language Technology for Equality, Diversity, and Inclusion (LT-EDI-2021). We summarize here the datasets for this challenge which are openly available at https://competitions.codalab.org/competitions/27653, and present an overview of the methods and the results of the competing systems. To the best of our knowledge, this is the first shared task to conduct hope speech detection.
Anthology ID:
2021.ltedi-1.8
Volume:
Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
Month:
April
Year:
2021
Address:
Kyiv
Editors:
Bharathi Raja Chakravarthi, John P. McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar
Venue:
LTEDI
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
61–72
Language:
URL:
https://aclanthology.org/2021.ltedi-1.8
DOI:
Bibkey:
Cite (ACL):
Bharathi Raja Chakravarthi and Vigneshwaran Muralidaran. 2021. Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion. In Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion, pages 61–72, Kyiv. Association for Computational Linguistics.
Cite (Informal):
Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion (Chakravarthi & Muralidaran, LTEDI 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.ltedi-1.8.pdf
Data
HopeEDI