MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness

Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Nishat Raihan, Al Nahian Bin Emran, Amrita Ganguly, Marcos Zampieri

Abstract
This paper presents the MasonTigers’ entry to the SemEval-2024 Task 1 - Semantic Textual Relatedness. The task encompasses supervised (Track A), unsupervised (Track B), and cross-lingual (Track C) approaches to semantic textual relatedness across 14 languages. MasonTigers stands out as one of the two teams who participated in all languages across the three tracks. Our approaches achieved rankings ranging from 11th to 21st in Track A, from 1st to 8th in Track B, and from 5th to 12th in Track C. Adhering to the task-specific constraints, our best performing approaches utilize an ensemble of statistical machine learning approaches combined with language-specific BERT based models and sentence transformers.
Anthology ID:
2024.semeval-1.199
Volume:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1380–1390
Language:
URL:
https://aclanthology.org/2024.semeval-1.199
DOI:
Bibkey:
Cite (ACL):
Dhiman Goswami, Sadiya Sayara Chowdhury Puspo, Nishat Raihan, Al Nahian Bin Emran, Amrita Ganguly, and Marcos Zampieri. 2024. MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1380–1390, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness (Goswami et al., SemEval 2024)
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PDF:
https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.semeval-1.199.pdf
Supplementary material:
 2024.semeval-1.199.SupplementaryMaterial.txt
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