VTUBGM@LT-EDI-2023: Hope Speech Identification using Layered Differential Training of ULMFit

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Hope speech embodies optimistic and uplifting sentiments, aiming to inspire individuals to maintain faith in positive progress and actively contribute to a better future. In this article, we outline the model presented by our team, VTUBGM, for the shared task”Hope Speech Detection for Equality, Diversity, and Inclusion” at LT-EDI-RANLP 2023. This task entails classifying YouTube comments, which is a classification problem at the comment level. The task was conducted in four different languages: Bulgarian, English, Hindi, and Spanish, with our team participating in the English subtask. The suggested model was developed using layered differential training of the ULMFit and received a macro F1 score of 0.48, placing third in the competition.

Original languageEnglish
Title of host publicationLTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings
EditorsBharathi Raja Chakravarthi, B. Bharathi, Joephine Griffith, Kalika Bali, Paul Buitelaar
PublisherIncoma Ltd
Pages209-213
Number of pages5
ISBN (Electronic)9789544520847
DOIs
Publication statusPublished - 2023
Event3rd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2023 - Varna, Bulgaria
Duration: 07-09-2023 → …

Publication series

NameLTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings

Conference

Conference3rd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2023
Country/TerritoryBulgaria
CityVarna
Period07-09-23 → …

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Language and Linguistics
  • Computational Theory and Mathematics

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