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篇名
Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation
作者 Yi-Chung Lin (Yi-Chung Lin)Chao-Chun Liang (Chao-Chun Liang)Kuang-Yi Hsu (Kuang-Yi Hsu)Chien-Tsung Huang (Chien-Tsung Huang)Shen-Yun Miao (Shen-Yun Miao)Wei-Yun Ma (Wei-Yun Ma)Lun-Wei Ku (Lun-Wei Ku)Churn-Jung Liau (Churn-Jung Liau)Keh-Yih Su (Keh-Yih Su)
英文摘要
This paper proposes a tag-based statistical framework to solve math word problems with understanding and reasoning. It analyzes the body and question texts into their associated tag-based logic forms, and then performs inference on them. Comparing to those rule-based approaches, the proposed statistical approach alleviates rules coverage and ambiguity resolution problems, and our tag-based approach also provides the flexibility of handling various kinds of related questions with the same body logic form. On the other hand, comparing to those purely statistical approaches, the proposed approach is more robust to the irrelevant information and could more accurately provide the answer. The major contributions of our work are: (1) proposing a tag-based logic representation such that the system is less sensitive to the irrelevant information and could provide answer more precisely; (2) proposing a unified statistical framework for performing reasoning from the given text.
起訖頁 1-26
關鍵詞 Math Word Problem SolverMachine ReadingNatural Language Understanding
刊名 中文計算語言學期刊  
期數 201512 (20:2期)
出版單位 中華民國計算語言學學會
該期刊-下一篇 Explanation Generation for a Math Word Problem Solver
 

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