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        <title>YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU</title>
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    <abstract>This paper describes the system and results of our team participated in SemEval-2020 Task4: Commonsense Validation and Explanation (ComVE), which aim to distinguish meaningful natural language statements from unreasonable natural language statements. This task contains three subtasks: Subtask A–Validation, Subtask B–Explanation (Multi-Choice), and Subtask C– Explanation (Generation). In these three subtasks, we only participated in Subtask A, which aims to distinguish whether a given two natural language statements with similar wording are meaningful. To solve this problem, we proposed a method using a combination of BERT with the Bidirectional Gated Recurrent Unit (Bi-GRU). Our model achieved an accuracy of 0.836 in Subtask A (ranked 27/45).</abstract>
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%0 Conference Proceedings
%T YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU
%A Ou, Xiaozhi
%A Li, Hongling
%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 ou-li-2020-ynu
%X This paper describes the system and results of our team participated in SemEval-2020 Task4: Commonsense Validation and Explanation (ComVE), which aim to distinguish meaningful natural language statements from unreasonable natural language statements. This task contains three subtasks: Subtask A–Validation, Subtask B–Explanation (Multi-Choice), and Subtask C– Explanation (Generation). In these three subtasks, we only participated in Subtask A, which aims to distinguish whether a given two natural language statements with similar wording are meaningful. To solve this problem, we proposed a method using a combination of BERT with the Bidirectional Gated Recurrent Unit (Bi-GRU). Our model achieved an accuracy of 0.836 in Subtask A (ranked 27/45).
%R 10.18653/v1/2020.semeval-1.80
%U https://aclanthology.org/2020.semeval-1.80
%U https://doi.org/10.18653/v1/2020.semeval-1.80
%P 626-632

Markdown (Informal)

[YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU](https://aclanthology.org/2020.semeval-1.80) (Ou & Li, SemEval 2020)

• YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU (Ou & Li, SemEval 2020)

ACL

• Xiaozhi Ou and Hongling Li. 2020. YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 626–632, Barcelona (online). International Committee for Computational Linguistics.