USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task
Jianjian Li, Shengwei Liang, Yong Liao, Hongping Deng, Haiyang Yu
Abstract
Cross-lingual semantic textual relatedness task is an important research task that addresses challenges in cross-lingual communication and text understanding. It helps establish semantic connections between different languages, crucial for downstream tasks like machine translation, multilingual information retrieval, and cross-lingual text understanding.Based on extensive comparative experiments, we choose the XLM-R-base as our base model and use pre-trained sentence representations based on whitening to reduce anisotropy.Additionally, for the given training data, we design a delicate data filtering method to alleviate the curse of multilingualism. With our approach, we achieve a 2nd score in Spanish, a 3rd in Indonesian, and multiple entries in the top ten results in the competition’s track C. We further do a comprehensive analysis to inspire future research aimed at improving performance on cross-lingual tasks.- Anthology ID:
- 2024.semeval-1.126
- 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:
- 881–887
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.126
- DOI:
- Cite (ACL):
- Jianjian Li, Shengwei Liang, Yong Liao, Hongping Deng, and Haiyang Yu. 2024. USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 881–887, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task (Li et al., SemEval 2024)
- PDF:
- https://preview.aclanthology.org/ingestion-checklist/2024.semeval-1.126.pdf