The Classificatim Sense-Mining System
| Autor: | Ciprian Melian, Sylviane Cardey, Peter Greenfield, Helena Morgadinho, Séverine Vienney, Kyoko Kuroda, Mounira Bioud, Izabel Marcelino, A. Dziadkiewicz, Guillaume Robardet |
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| Rok vydání: | 2006 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Rule-based system computer.software_genre Part of speech Kernel method Information system Artificial intelligence business Function (engineering) computer Classifier (UML) Natural language processing Natural language media_common |
| Zdroj: | Advances in Natural Language Processing ISBN: 9783540373346 FinTAL |
| DOI: | 10.1007/11816508_67 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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