Name
Title | ||
|---|---|---|
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications. |
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.18653/v1/2022.semeval-1.152 | International Workshop on Semantic Evaluation (SemEval ) |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junyuan Shang | 1 | 0 | 0.68 |
| Shuohuan Wang | 2 | 4 | 3.76 |
| Yu Sun | 3 | 4 | 4.09 |
| Yanjun Yu | 4 | 21 | 1.38 |
| Yue Zhou | 5 | 0 | 1.01 |
| Li Xiang | 6 | 5 | 1.74 |
| Guixiu Yang | 7 | 0 | 0.34 |