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Erschienen in:
2006 | OriginalPaper | Buchkapitel
The Classificatim Sense-Mining System
verfasst von : Sylviane Cardey, Peter Greenfield, Mounira Bioud, Aleksandra Dziadkiewicz, Kyoko Kuroda, Izabel Marcelino, Ciprian Melian, Helena Morgadinho, Guillaume Robardet, Séverine Vienney
Erschienen in: Advances in Natural Language Processing
Verlag: Springer Berlin Heidelberg
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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.