A hybrid approach for semantic enrichment of MathML mathematical expressions
Digital Libraries
2013-06-03 v1 Information Retrieval
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.
Keywords
Cite
@article{arxiv.1305.7316,
title = {A hybrid approach for semantic enrichment of MathML mathematical expressions},
author = {Minh-Quoc Nghiem and Giovanni Yoko Kristianto and Goran Topic and Akiko Aizawa},
journal= {arXiv preprint arXiv:1305.7316},
year = {2013}
}