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        <title>JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation</title>
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        <namePart type="given">Seung-Hoon</namePart>
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    <abstract>This paper presents our contributions to the SemEval-2020 Task 4 Commonsense Validation and Explanation (ComVE) and includes the experimental results of the two Subtasks B and C of the SemEval-2020 Task 4. Our systems rely on pre-trained language models, i.e., BERT (including its variants) and UniLM, and rank 10th and 7th among 27 and 17 systems on Subtasks B and C, respectively. We analyze the commonsense ability of the existing pretrained language models by testing them on the SemEval-2020 Task 4 ComVE dataset, specifically for Subtasks B and C, the explanation subtasks with multi-choice and sentence generation, respectively.</abstract>
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%0 Conference Proceedings
%T JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation
%A Na, Seung-Hoon
%A Lee, Jong-Hyeon
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F na-lee-2020-jbnu
%X This paper presents our contributions to the SemEval-2020 Task 4 Commonsense Validation and Explanation (ComVE) and includes the experimental results of the two Subtasks B and C of the SemEval-2020 Task 4. Our systems rely on pre-trained language models, i.e., BERT (including its variants) and UniLM, and rank 10th and 7th among 27 and 17 systems on Subtasks B and C, respectively. We analyze the commonsense ability of the existing pretrained language models by testing them on the SemEval-2020 Task 4 ComVE dataset, specifically for Subtasks B and C, the explanation subtasks with multi-choice and sentence generation, respectively.
%R 10.18653/v1/2020.semeval-1.65
%U https://aclanthology.org/2020.semeval-1.65
%U https://doi.org/10.18653/v1/2020.semeval-1.65
%P 527-534

Markdown (Informal)

[JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation](https://aclanthology.org/2020.semeval-1.65) (Na & Lee, SemEval 2020)

• JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation (Na & Lee, SemEval 2020)

ACL

• Seung-Hoon Na and Jong-Hyeon Lee. 2020. JBNU at SemEval-2020 Task 4: BERT and UniLM for Commonsense Validation and Explanation. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 527–534, Barcelona (online). International Committee for Computational Linguistics.