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A Hybrid Approach for Semantic Enrichment of MathML Mathematical Expressions

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Intelligent Computer Mathematics (CICM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7961))

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Abstract

In this paper, we present a new approach to the semantic enrichment of mathematical expression problem. Our approach is a combination of statistical machine translation and disambiguation which makes use of surrounding text of the mathematical expressions. We first use Support Vector Machine classifier to disambiguate mathematical terms using both their presentation form and surrounding text. We then use the disambiguation result to enhance the semantic enrichment of a statistical-machine-translation-based system. Experimental results show that our system archives improvements over prior systems.

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© 2013 Springer-Verlag Berlin Heidelberg

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Nghiem, MQ., Kristianto, G.Y., Topić, G., Aizawa, A. (2013). A Hybrid Approach for Semantic Enrichment of MathML Mathematical Expressions. In: Carette, J., Aspinall, D., Lange, C., Sojka, P., Windsteiger, W. (eds) Intelligent Computer Mathematics. CICM 2013. Lecture Notes in Computer Science(), vol 7961. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39320-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-39320-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39319-8

  • Online ISBN: 978-3-642-39320-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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