The gap of semantic parsing: A survey on automatic Math word problem solvers

• Main Authors: ZHANG, Dongxiang, WANG, Lei, ZHANG, Luming, DAI, Bing Tian, SHEN, Heng Tao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Semantics; Feature extraction; Mathematical model; Cognition; Natural languages; Deep learning; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7132; https://ink.library.smu.edu.sg/context/sis_research/article/8135/viewcontent/1808.07290.pdf
• Institution: Singapore Management University

Solving mathematical word problems (MWPs) automatically is challenging, primarily due to the semantic gap between human-readable words and machine-understandable logics. Despite the long history dated back to the 1960s, MWPs have regained intensive attention in the past few years with the advancemen...