HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR)

Mengyao Piao, Su Chang, Yuang Li, Xiaosong Qiao, Xiaofeng Zhao, Yinglu Li, Min Zhang, Hao Yang


Abstract
The degree of semantic relatedness of two units of language has long been considered fundamental to understanding meaning. In this paper, we present the system of Huawei Translation Services Center (HW-TSC) for Task 1 of SemEval 2024, which aims to automatically measure the semantic relatedness of sentence pairs in African and Asian languages. The task dataset for this task covers about 14 different languages, These languages originate from five distinct language families and are predominantly spoken in Africa and Asia. For this shared task, we describe our proposed solutions, including ideas and the implementation steps of the task, as well as the outcomes of each experiment on the development dataset. To enhance the performance, we leverage these experimental outcomes and construct an ensemble one. Our results demonstrate that our system achieves impressive performance on test datasets in unsupervised track B and ranked first place for the Punjabi language pair.
Anthology ID:
2024.semeval-1.232
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:
1634–1638
Language:
URL:
https://aclanthology.org/2024.semeval-1.232
DOI:
Bibkey:
Cite (ACL):
Mengyao Piao, Su Chang, Yuang Li, Xiaosong Qiao, Xiaofeng Zhao, Yinglu Li, Min Zhang, and Hao Yang. 2024. HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR). In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1634–1638, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR) (Piao et al., SemEval 2024)
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PDF:
https://preview.aclanthology.org/revert-3132-ingestion-checklist/2024.semeval-1.232.pdf
Supplementary material:
 2024.semeval-1.232.SupplementaryMaterial.zip
Supplementary material:
 2024.semeval-1.232.SupplementaryMaterial.txt