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        <title>KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation</title>
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    <abstract>Using a natural language understanding system for commonsense comprehension is getting increasing attention from researchers. Current multi-purpose state-of-the-art models suffer on commonsense validation and explanation tasks. We have adopted one of the state-of-the-art models and proposing a method to boost the performance of the model in commonsense related tasks.</abstract>
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    <identifier type="doi">10.18653/v1/2020.semeval-1.68</identifier>
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%0 Conference Proceedings
%T KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation
%A Mendbayar, Khanddorj
%A Aono, Masaki
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F mendbayar-aono-2020-kde
%X Using a natural language understanding system for commonsense comprehension is getting increasing attention from researchers. Current multi-purpose state-of-the-art models suffer on commonsense validation and explanation tasks. We have adopted one of the state-of-the-art models and proposing a method to boost the performance of the model in commonsense related tasks.
%R 10.18653/v1/2020.semeval-1.68
%U https://aclanthology.org/2020.semeval-1.68
%U https://doi.org/10.18653/v1/2020.semeval-1.68
%P 551-555

Markdown (Informal)

[KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation](https://aclanthology.org/2020.semeval-1.68) (Mendbayar & Aono, SemEval 2020)

• KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation (Mendbayar & Aono, SemEval 2020)

ACL

• Khanddorj Mendbayar and Masaki Aono. 2020. KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 551–555, Barcelona (online). International Committee for Computational Linguistics.