透過您的圖書館登入
IP:18.189.193.172
  • 期刊
  • OpenAccess

Explanation Generation for a Math Word Problem Solver

並列摘要


This paper proposes a math operation (e.g., Summation, Addition, Subtraction, Multiplication, Division, etc.) oriented approach to explain how the answers are obtained for math word problems. Based on the reasoning chain given by the inference engine, we search each math operator involved. For each math operator, we generate one sentence. Since explaining math operation does not require complicated syntax, we adopt a specific template to generate the text for each kind of math operator. To the best of our knowledge, this is the first explanation generation that is specifically tailored to solving the math word problem.

參考文獻


Lin, Y. C.,Liang, C. C.,Hsu, K. Y.,Huang, C. T.,Miao, S. Y.,Ma, W. Y.,Ku, L. W.,Liau, C. J.,Su, K. Y.(2015).Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation.International Journal of Computational Linguistics and Chinese Language Processing.20(2),1-26.
Coch, J.(1998).Interactive generation and knowledge administration in MultiMétéo.Proceedings of the Ninth International Workshop on Natural Language Generation.(Proceedings of the Ninth International Workshop on Natural Language Generation).
Dale, R.,Oberlander, J.,Milosavljevic, M.,Knott, A.(1998).Integrating natural language generation and hypertext to produce dynamic documents.Interacting with Computers.11(2),109-135.
Goldberg, E.,Driedger, N.,Kittredge, R.(1994).Using natural-language processing to produce weather forecasts.IEEE Expert: Intelligent Systems and Their Applications.9(2),45-53.
Halliday, M. A. K.(1985).An Introduction to Functional Grammar.London, England:Edward Arnold.

延伸閱讀