KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation

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Authors Jiajing Wan, Xinting Huang
Journal/Conference Name arXiv preprint
Paper Category
Paper Abstract This paper presents our strategies in SemEval 2020 Task 4 Commonsense Validation and Explanation. We propose a novel way to search for evidence and choose the different large-scale pre-trained models as the backbone for three subtasks. The results show that our evidence-searching approach improves model performance on commonsense explanation task. Our team ranks 2nd in subtask C according to human evaluation score.
Date of publication 2020
Code Programming Language Python
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