An Efficient Information Extraction Model for personal named entity
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-3 | ||
| Year of Publication : 2013 | ||
| Authors : Teena A.Sunny, G. Naveen Sundar |
Teena A.Sunny, G. Naveen Sundar "An Efficient Information Extraction Model for personal named entity"International Journal of Computer Trends and Technology (IJCTT),V4(3):446-449 Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: -Named entity recognition (NER) is one of the key techniques in language processing tasks such as information extraction. This paper focuses mainly on recognition of named entity using distance based clustering and attributes extraction patterns. The ultimate goal of the paper is to reduce ambiguity of person names with higher precision and recall and to avoid duplicity.
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Keywords — Unsupervised learning, precision, recall, Ambiguity, Bigrams, attribute extraction, clustering, tokens.