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SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier

The Sydney Language Independent Named Entity Recogniser and Classifier (SLINERC) is a multi-stage system for the recognition and classification of named entities. Each stage uses a decision graph learner to combine statistical features with results from prior stages. Earlier stages are focused upon entity recognition, the division of non-entity terms from entities. Later stages concentrate on the classification of these entities into the desired classes. The best overall f-values are 73.92 and 71.36 for the Spanish and Dutch datasets, respectively.


Jon Patrick, Casey Whitelaw and Robert Munro, SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier. In: Dan Roth and Antal van den Bosch (eds.), Proceedings of CoNLL-2002, Taipei, Taiwan, 2002, pp. 199-202. [ps] [ps.gz] [pdf] [bibtex]
Last update: September 10, 2002. erikt@uia.ua.ac.be