Please use this identifier to cite or link to this item: https://doi.org/10.1504/IJBIDM.2007.016382
Title: Application of association rules mining to Named Entity Recognition and co-reference resolution for the Indonesian language
Authors: Budi, I.
Bressan, S. 
Keywords: Association rules
Co-reference resolution
Entity equivalence
Named Entity Recognition
NER
Issue Date: 2007
Source: Budi, I.,Bressan, S. (2007). Application of association rules mining to Named Entity Recognition and co-reference resolution for the Indonesian language. International Journal of Business Intelligence and Data Mining 2 (4) : 426-446. ScholarBank@NUS Repository. https://doi.org/10.1504/IJBIDM.2007.016382
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. © 2007, Inderscience Publishers.
Source Title: International Journal of Business Intelligence and Data Mining
URI: http://scholarbank.nus.edu.sg/handle/10635/39397
ISSN: 17438187
DOI: 10.1504/IJBIDM.2007.016382
Appears in Collections:Staff Publications

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