Abstract
Number and date expressions are essential information items in corpora and therefore play a major role in various text mining applications. However, so far number expressions were investigated in a rather superficial manner. In this paper we introduce a comprehensive number classification and present promising, initial results of a classification experiment using various Machine Learning algorithms (amongst others AdaBoost and Maximum Entropy) to extract and classify number expressions in a German newspaper corpus.
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Cramer, I., Schacht, S., Merkel, A. (2008). Classifying Number Expressions in German Corpora. In: Preisach, C., Burkhardt, H., Schmidt-Thieme, L., Decker, R. (eds) Data Analysis, Machine Learning and Applications. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78246-9_65
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DOI: https://doi.org/10.1007/978-3-540-78246-9_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78239-1
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