Modeling intra-relation in math word problems with different functional multi-head attentions

• Main Authors: LI, Jierui, WANG, Lei, ZHANG, Jipeng, WANG, Yan, DAI, Bing Tian, ZHANG, Dongxiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Attention mechanisms; Cross validation; Global feature; Learning models; State-of-the-art methods; Word problem; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4867; https://ink.library.smu.edu.sg/context/sis_research/article/5870/viewcontent/P19_1619_pvoa.pdf
• Institution: Singapore Management University

Several deep learning models have been proposed for solving math word problems (MWPs) automatically. Although these models have the ability to capture features without manual efforts, their approaches to capturing features are not specifically designed for MWPs. To utilize the merits of deep learnin...