@inproceedings{liu-etal-2020-lmve,
title = "{LMVE} at {S}em{E}val-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model",
author = "Liu, Shilei and
Guo, Yu and
Li, BoChao and
Ren, Feiliang",
editor = "Herbelot, Aurelie and
Zhu, Xiaodan and
Palmer, Alexis and
Schneider, Nathan and
May, Jonathan and
Shutova, Ekaterina",
booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
month = dec,
year = "2020",
address = "Barcelona (online)",
publisher = "International Committee for Computational Linguistics",
url = "https://aclanthology.org/2020.semeval-1.70",
doi = "10.18653/v1/2020.semeval-1.70",
pages = "562--568",
abstract = "This paper introduces our system for commonsense validation and explanation. For Sen-Making task, we use a novel pretraining language model based architecture to pick out one of the two given statements that is againstcommon sense. For Explanation task, we use a hint sentence mechanism to improve the performance greatly. In addition, we propose a subtask level transfer learning to share information between subtasks.",
}
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<abstract>This paper introduces our system for commonsense validation and explanation. For Sen-Making task, we use a novel pretraining language model based architecture to pick out one of the two given statements that is againstcommon sense. For Explanation task, we use a hint sentence mechanism to improve the performance greatly. In addition, we propose a subtask level transfer learning to share information between subtasks.</abstract>
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%0 Conference Proceedings
%T LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model
%A Liu, Shilei
%A Guo, Yu
%A Li, BoChao
%A Ren, Feiliang
%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 liu-etal-2020-lmve
%X This paper introduces our system for commonsense validation and explanation. For Sen-Making task, we use a novel pretraining language model based architecture to pick out one of the two given statements that is againstcommon sense. For Explanation task, we use a hint sentence mechanism to improve the performance greatly. In addition, we propose a subtask level transfer learning to share information between subtasks.
%R 10.18653/v1/2020.semeval-1.70
%U https://aclanthology.org/2020.semeval-1.70
%U https://doi.org/10.18653/v1/2020.semeval-1.70
%P 562-568
Markdown (Informal)
[LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model](https://aclanthology.org/2020.semeval-1.70) (Liu et al., SemEval 2020)
ACL