Jul, 2024
Sharif-STR在SemEval-2024任务1中:Transformer作为文本语义关系细粒度评分的回归模型
Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for
Fine-Grained Scoring of Textual Semantic Relations
Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani, Hadi Alizadeh, Zeinab Sadat Taghavi...
TL;DR使用RoBERTa transformer对语句级STR(语义文本关联性)进行fine-tuning技术的研究,发现了这种方法在不同语言中取得了显著的性能提升,尤其在拉丁语言中取得了令人瞩目的成果。