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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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
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