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• W2078797988 abstract "In this paper, we propose a state-of-art association rule mining algorithm for Hindi NER. Association rules are one of the key components of the data mining. Mined rules are of - TYPE 1, TYPE 2 and Type 3 i.e. dictionary, bi-gram and feature rules respectively. We consider corpus of news articles (100 training and 50 test sets) from leading Hindi newspapers. Hindi NER shows significant increase in performance when TYPE 2 rules are combined with TYPE 1 or with TYPE 3." @default.
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• W2078797988 date "2014-09-01" @default.
• W2078797988 modified "2023-10-16" @default.
• W2078797988 title "NER for Hindi language using association rules" @default.
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• W2078797988 doi "https://doi.org/10.1109/icdmic.2014.6954253" @default.
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