Application of association rules mining to Named Entity Recognition and co-reference resolution for the Indonesian language
by Indra Budi, Stephane Bressan
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 2, No. 4, 2007

Abstract: In this paper, we propose a new method, association rules mining for Named Entity Recognition (NER) and co-reference resolution. The method uses several morphological and lexical features such as Pronoun Class (PC) and Name Class (NC), String Similarity (SP) and Position (P) in the text, into a vector of attributes. Applied to a corpus of newspaper in the Indonesian language, the method outperforms state-of-the-art maximum entropy method in name entity recognition and is comparable with state-of-the-art machine learning methods, decision tree, for co-reference resolution.

Online publication date: Sun, 23-Dec-2007

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