@inproceedings{wang-etal-2021-pingan,
title = "{PINGAN} Omini-Sinitic at {S}em{E}val-2021 Task 4:Reading Comprehension of Abstract Meaning",
author = "Wang, Ye and
Wang, Yanmeng and
Zhu, Haijun and
Zeng, Bo and
Hao, Zhenghong and
Wang, Shaojun and
Xiao, Jing",
editor = "Palmer, Alexis and
Schneider, Nathan and
Schluter, Natalie and
Emerson, Guy and
Herbelot, Aurelie and
Zhu, Xiaodan",
booktitle = "Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.semeval-1.109/",
doi = "10.18653/v1/2021.semeval-1.109",
pages = "820--826",
abstract = "This paper describes the winning system for subtask 2 and the second-placed system for subtask 1 in SemEval 2021 Task 4: ReadingComprehension of Abstract Meaning. We propose to use pre-trianed Electra discriminator to choose the best abstract word from five candidates. An upper attention and auto denoising mechanism is introduced to process the long sequences. The experiment results demonstrate that this contribution greatly facilitatesthe contextual language modeling in reading comprehension task. The ablation study is also conducted to show the validity of our proposed methods."
}
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<abstract>This paper describes the winning system for subtask 2 and the second-placed system for subtask 1 in SemEval 2021 Task 4: ReadingComprehension of Abstract Meaning. We propose to use pre-trianed Electra discriminator to choose the best abstract word from five candidates. An upper attention and auto denoising mechanism is introduced to process the long sequences. The experiment results demonstrate that this contribution greatly facilitatesthe contextual language modeling in reading comprehension task. The ablation study is also conducted to show the validity of our proposed methods.</abstract>
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%0 Conference Proceedings
%T PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning
%A Wang, Ye
%A Wang, Yanmeng
%A Zhu, Haijun
%A Zeng, Bo
%A Hao, Zhenghong
%A Wang, Shaojun
%A Xiao, Jing
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Schluter, Natalie
%Y Emerson, Guy
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%S Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F wang-etal-2021-pingan
%X This paper describes the winning system for subtask 2 and the second-placed system for subtask 1 in SemEval 2021 Task 4: ReadingComprehension of Abstract Meaning. We propose to use pre-trianed Electra discriminator to choose the best abstract word from five candidates. An upper attention and auto denoising mechanism is introduced to process the long sequences. The experiment results demonstrate that this contribution greatly facilitatesthe contextual language modeling in reading comprehension task. The ablation study is also conducted to show the validity of our proposed methods.
%R 10.18653/v1/2021.semeval-1.109
%U https://aclanthology.org/2021.semeval-1.109/
%U https://doi.org/10.18653/v1/2021.semeval-1.109
%P 820-826
Markdown (Informal)
[PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning](https://aclanthology.org/2021.semeval-1.109/) (Wang et al., SemEval 2021)
ACL