Abstract
In this paper, we present the theory from which a methodology has been developed to create Classificatim, a system for sense mining. The system is rule-based and has been conceived with micro-systems in interrelation. Classificatim is composed of 3 systems, Labelgram – a disambiguating parts of speech tagger, Semegram – a sense tagger and a kernel – Classificatim (’verbatim classifier’). The corpus provided by an agro-food industry enterprise has been used to test the system. We explain how the different micro-systems function, what is peculiar to each of them and in what manner our research is original.
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Cardey, S. et al. (2006). The Classificatim Sense-Mining System. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds) Advances in Natural Language Processing. FinTAL 2006. Lecture Notes in Computer Science(), vol 4139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816508_67
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DOI: https://doi.org/10.1007/11816508_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37334-6
Online ISBN: 978-3-540-37336-0
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