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Solving Arithmetic Mathematical Word Problems a Review and Recent Advancements

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Abstract

This paper studies the research problem of solving mathematical word problems (MWPs) and reviews the related inquiry and methodologies. Word problems are any numerical problems written in natural languages like English language, based on any discipline domain (mathematics, physics, chemistry, biology, etc.), and MWPs relate to word problems in the mathematics domain. Solving MWPs has been a long-lasting open research problem in the field of natural language processing (NLP), machine learning (ML), and artificial intelligent (AI); however, unlike other enquiry problems in NLP, ML, and AI, information technology has non made much progress. MWPs which can exist easily solved by second-grade students tin can often pose serious challenges to MWP solvers due to its various problem types and varying degree of complexities. Understanding such problems written in tongue requires proper reasoning toward equation formation and answer generation. Nosotros restrict the review in this survey but to research on solving arithmetic discussion problems from elementary school level mathematics. We analyzed all the of import methodologies proposed past researchers forth with the datasets they used for training and evaluation. Nosotros studied the technical aspects of the system components and the algorithms relevant to their research along with the scopes, constraints, and limitations. This review paper likewise discusses the performance of different MWP solvers and provides observations on related datasets.

Keywords

  • Mathematical Word Issues (MWP)
  • Parental Template
  • Question Sentence
  • Addition Subtraction
  • Semantic Role Labeling Techniques

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated every bit the learning algorithm improves.

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Affiliations

  1. Haldia Institute of Technology, Haldia, 721657, West Bengal, Bharat

    Sourav Mandal

  2. Jadavpur University, Kolkata, 700032, India

    Sudip Kumar Naskar

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Correspondence to Sourav Mandal .

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Mandal, S., Naskar, Southward.K. (2019). Solving Arithmetics Mathematical Word Problems: A Review and Contempo Advancements. In: Chandra, P., Giri, D., Li, F., Kar, S., Jana, D. (eds) Information technology and Applied Mathematics. Advances in Intelligent Systems and Computing, vol 699. Springer, Singapore. https://doi.org/ten.1007/978-981-ten-7590-2_7

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