| Title: |
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning |
| Authors: |
Wang, Hongru, Tang, Xiangru, Lai, Sunny, Leung, Kwong Sak, Zhu, Jia, Fung, Gabriel Pui Cheong, Wong, Kam-Fai |
| Publication Year: |
2020 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning |
| More Details: |
This paper describes our system submitted to task 4 of SemEval 2020: Commonsense Validation and Explanation (ComVE) which consists of three sub-tasks. The task is to directly validate the given sentence whether or not it makes sense and require the model to explain it. Based on BERTarchitecture with a multi-task setting, we propose an effective and interpretable "Explain, Reason and Predict" (ERP) system to solve the three sub-tasks about commonsense: (a) Validation, (b)Reasoning, and (c) Explanation. Inspired by cognitive studies of common sense, our system first generates a reason or understanding of the sentences and then chooses which one statement makes sense, which is achieved by multi-task learning. During the post-evaluation, our system has reached 92.9% accuracy in subtask A (rank 11), 89.7% accuracy in subtask B (rank 9), andBLEU score of 12.9 in subtask C (rank 8) |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2006.09161 |
| Accession Number: |
edsarx.2006.09161 |
| Database: |
arXiv |
