SCISOR: extracting information from on-line news
Communications of the ACM
Robust processing of real-world natural-language texts
Text-based intelligent systems
Using multiple knowledge sources for word sense discrimination
Computational Linguistics
Innovations in text interpretation
Artificial Intelligence - Special volume on natural language processing
To parse or not to parse: relation-driven text skimming
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Ontology-supported FAQ processing and ranking techniques
Journal of Intelligent Information Systems
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We discuss a method for using automated corpus analysis to acquire word sense information for multilingual text interpretation. Our system, SHOGUN, extracts data from news stories with broad coverage in Japanese and English. Our approach focuses on tying together word senses, using a combination of world knowledge (oatlogy) with word knowledge (corpus data). We explain the approach and its results in SHOGUN.