Multi-Task Learning for Semantic Relatedness and Textual Entailment

• 作 者: Linrui Zhang Dan Moldovan
• 机 构: DepartmentofComputerScience
• 出 处: 软件工程与应用(英文)
• 发表日期: 2019年6期
• 关键词: DEEP LEARNING MULTI-TASK LEARNING TEXT UNDERSTANDING Deep Learning Multi-Task Le

Recently, several deep learning models have been successfully proposed and have been applied to solve different Natural Language Processing (NLP) tasks. However, these models solve the problem based on single-task supervised learning and do not consider t