Application of association rules mining to Named Entity Recognition and co-reference resolution for the Indonesian language

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… (More)
DOI: 10.1504/IJBIDM.2007.016382

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