[2211.14734] X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications
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Computer Science > Computation and Language

arXiv:2211.14734 (cs)
[Submitted on 27 Nov 2022]

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

Authors:Junyuan Shang, Shuohuan Wang, Yu Sun, Yanjun Yu, Yue Zhou, Li Xiang, Guixiu Yang
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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.
Comments: Accepted at the 16th International Workshop on Semantic Evaluation (SemEval-2022), NAACL
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2211.14734 [cs.CL]
  (or arXiv:2211.14734v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2211.14734
Related DOI: https://doi.org/10.18653/v1/2022.semeval-1.152

Submission history

From: Junyuan Shang [view email]
[v1] Sun, 27 Nov 2022 05:46:46 UTC (5,345 KB)
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