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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References
AHN, D., FISSAHA ADAFRE, S. and DE RIJKE, M. (2005): Recognizing and Interpreting Temporal Expressions in Open Domain Texts. S. Artemov et al. (eds): We Will Show Them: Essays in Honour of Dov Gabbay, Vol 1., College Publications.
APPELT, D., BEAR, J., HOBBS, J., ISRAEL, D., KAMEYAMA, M., STICKEL, M. and TYSON, M. (1993): FASTUS: A Cascaded Finite-State Tranducer for Extracting Infor-mation from Natural-Language Text. SRI International.
BIKEL, D., MILLER, S., SCHWARTZ, R. and WEISCHEDEL, R. (1997): Nymble: a high-performance learning name-finder. Proceedings of 5th ANLP.
CARRERAS, X., MÀRQUEZ, L. and PADRÓ, L. (2003): A Simple Named Entity Extractor using AdaBoost. Proceedings of CoNLL-2003
CHINCHOR, N. A. (1998a): Overview of MUC-7/MET-2. Proceedings of the Message Un-derstanding Conference 7.
CHINCHOR, N. A. (1998b): MUC-7 Named Entity Task Definition (version 3.5) Proceedings of the Message Understanding Conference 7.
HOVY, E. H., HERMJAKOB, U. and RAVICHANDRAN, D. (2002): A Question/Answer Ty-pology with Surface Text Patterns. Proceedings of the DARPA Human Language Tech-nology conference (HLT).
HUMPHREYS, K., GAIZAUSKAS, R., AZZAM, S., HUYCK, C., MITCHELL, B. CUN-NINGHAM, H. and WILKS, Y. (1998): University of Sheffield: Description of the LaSIE-II System as Used for MUC-7. Proceedings of the 7th Message Understanding Conference (MUC-7).
TJONG KIM SANG, E. F. and DE MEULDER, F. (2003): Introduction to the CoNLL Shared Task: Language-Independent Named Entity Recognition. Proceedings of the Conference on Computational Natural Language Learning.
VOORHEES, E. and TICE, D. (2000): Building a Question Answering Test Collection. Pro-ceedings of SIGIR-2000.
WITTEN, I. H. and FRANK, E. (2005): Data Mining: Practical machine learning tools and techniques. 2nd Edition, Morgan Kaufmann, San Francisco.
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© 2008 Springer-Verlag Berlin Heidelberg
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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
Online ISBN: 978-3-540-78246-9
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