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Learning to Solve First-grade Math Word Problems

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dc.contributor.advisor Phan Minh, Dung
dc.contributor.author Sinsamersuk, Akraradet
dc.contributor.other Dailey, Matthew
dc.contributor.other Taparugssanagorn, Attaphongse
dc.date.accessioned 2020-07-07T06:36:54Z
dc.date.available 2020-07-07T06:36:54Z
dc.date.issued 2020-07-07
dc.identifier.other AIT
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/976
dc.description 44 p. en_US
dc.description.abstract Math Word Problems is one of the challenges in the Natural Language Processing field. The problem asks the solver to translate from an ambiguous language like the English language to precise language like a mathematical equation. The solver must embed a common background knowledge to be able to understand the context of the question and translate it. In recent years, due to the breakthrough of the Deep Learning and Sequence-to-Sequence model, most researches have been adopting them. They are aiming to model the solver that can solve all the problems. Alternatively, this research aims to understand the relation between the problem and its corresponding equation. What level of knowledge the solver is needed to solve the problem set designed for the first-grade students. en_US
dc.description.sponsorship His Majesty the King’s Scholarships (Thailand) en_US
dc.language.iso en en_US
dc.publisher AIT en_US
dc.subject NLP en_US
dc.subject MWP en_US
dc.title Learning to Solve First-grade Math Word Problems en_US
dc.type Research report en_US


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