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X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications

2022-11-27 05:46:46
Junyuan Shang, Shuohuan Wang, Yu Sun, Yanjun Yu, Yue Zhou, Li Xiang, Guixiu Yang
arXiv_AI
         
Abstract

This paper describes our winning system on SemEval 2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts. A replaced token detection pre-trained model is utilized with minorly different task-specific heads for SubTask-A: Multi-class Classification and SubTask-B: Ranking. Incorporating a pattern-aware ensemble method, our system achieves a 68.90% accuracy score and 0.8070 spearman's rank correlation score surpassing the 2nd place with a large margin by 2.7 and 2.2 percent points for SubTask-A and SubTask-B, respectively. Our approach is simple and easy to implement, and we conducted ablation studies and qualitative and quantitative analyses for the working strategies used in our system.

Abstract (translated)

URL

https://arxiv.org/abs/2211.14734

PDF

https://arxiv.org/pdf/2211.14734.pdf

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