2020 SEMEVAL SemEval 2020

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

Abstract

AbstractThis 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.

πŸŒ‰ Interdisciplinary Bridge β€” Artificial Intelligence and Natural Language Processing
🧭 Keyword Pioneer β€” evidence searching
🐝 Cross-Pollinator β€” Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio