Learning to solve first-grade math word problems | |
| Author | Akraradet Sinsamersuk |
| Subject(s) | Computational linguistics Machine learning Natural language processing (Computer science) |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science |
| Publisher | Asian Institute of Technology |
| 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 back ground 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 cor responding equation. What level of knowledge the solver is needed to solve the problem set designed for the first-grade students. |
| Year | 2020 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Phan Minh Dung; |
| Examination Committee(s) | Dailey, Matthew N.;Attaphongse Taparugssanagorn; |
| Scholarship Donor(s) | His Majesty the King’s Scholarships (Thailand); |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2020 |