Proceedings

FACILE: Classifying Texts Integrating Pattern Matching and Information Extraction

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Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Natural Language Processing. Pages 890-896.

Abstract

Successfully managing information means being able to find relevant new information and to correctly integrate it with pre-existing knowledge. Much information is nowadays stored as multilingual textual data; therefore advanced classification systems are currently considered as strategic components for effective knowledge management. We describe an experie~ce integrating different innovative AI t~chnolog~es such as hierarchical pattern matchmg and mformation extraction to provide flexible multilingual classification adaptable to user needs. Pattern matching produces fairly accurate and fast categorisation over a large number of classes, while information extraction provides fine-grained classification for a reduced number of classes. The resulting system was adopted by the main Italian financial news agency providing a pay-to-view service.

Fabio Ciravegna, Alberto Lavelli, Luca Gilardoni, Johannes Matiasek, Nadia Mana, Silvia Mazza, Massimo Ferraro, William J. Black, Fabio Rinaldi, and David Mowatt. 1999. FACILE: Classifying Texts Integrating Pattern Matching and Information Extraction. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99. IJCAI, 890–896. https://ijcai.org/proceedings/1999/127
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