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Information Extraction from Text Corpora: Using Filters on Collocation Sets
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC 2002)
Abstract
This paper describes the application of filtering techniques to collocation sets calculated for very large text corpora. Additional information like patterns, grammatical information, subject areas and numerical values associated with the collocations are used to identify collocations with given semantic structure. Various examples and different techniques for applying such filters are described. We also give several examples of practical applications for this type of information extraction.