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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 over-all f-values are 73.92 and 71.36 for the Spanish and Dutch datasets, respectively.
Patrick et al. (Tue,) studied this question.
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