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

• URL: http://arxiv.org/abs/2005.11768v2
• Date: Fri, 24 Jul 2020 06:39:14 GMT
• Title: KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation
• Authors: Jiajing Wan and Xinting Huang
• Abstract summary: 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.
• Score: 4.94950858749529
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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