May 2011Įkbal, A., Bandyopadhyay, S.: Named entity recognition using support vector machine: a language independent approach. Special Volume: Problems of Parsing in Indian Languages 11(5). Sharma, P., Sharma, U., Kalita, J.: Named entity recognition: a survey for the Indian languages.
ODIA BYAKARANA PDF DOWNLOAD SERIES
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In: Proceedings of the IJCNLP-08 Workshop on NER for South and South-East Asian Languages, Hyderabad, India, pp. Goyal, A.: Named entity recognition for South Asian languages. In: Proceedings of the 3rd International Joint Conference on NLP, Hyderabad, India, pp. 343–349, Jan 2008 Saha, S.K., Sarkar, S., Mitra, P.: A hybrid feature set based maximum entropy hindi named entity recognition. In: Proceedings of the IJCNLP-08 Workshop on NER for South and South East Asian Languages, pp. 1(1), 639–643 (2010)Įkbal, A., Bandyopadhyay, S.: Bengali named entity recognition using support vector machine. 192–199 (2001)īiswas, S., Mishra, S.P., Acharya, S., Mohanty, S.: A hybrid Oriya named entity recognition system: harnessing the power of rule. Kudo, T., Matsumoto, Y.: Chunking with support vector machine. Experimental results show that our approach achieves higher accuracy than previous approaches. We have used required lexical databases to prepare rules and identify the context patterns for Odia.
Moreover, some gazetteers and context patterns are added to the system to increase its performance as it is observed that identification of rules and context patterns requires language-based knowledge to make the system work better. Some language specific rules are added to the system to recognize specific NE classes.
Starting with named entity annotated corpora and a set of features it requires to develop a base-line NER System. NER aims at classifying each word in a document into predefined target named entity classes in a linear and non-linear fashion. The development of a NER system for Odia using Support Vector Machine is a challenging task in intelligent computing. This paper presents a novel approach to recognize named entities in Odia corpus.
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