论文信息 - Hybrid Named Entity Recognition System for South and South East Asian Languages

Hybrid Named Entity Recognition System for South and South East Asian Languages

This paper is submitted for the contest NERSSEAL-2008. Building a statistical based Named entity Recognition (NER) system requires huge data set. A rule based system needs linguistic analysis to formulate rules. Enriching the language specific rules can give better results than the statistical methods of named entity recognition. A Hybrid model proved to be better in identifying Named Entities (NE) in Indian Language where the task of identifying named entities is far more complicated compared to English because of variation in the lexical and grammatical features of Indian languages.

P. Praveen | Ravi Kiran | P. Praveen | R. Kiran

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