International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 3 | Year 2013 | Article Id. IJCTT-V4I3P147 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I3P147

An Efficient Information Extraction Model for personal named entity

Teena A.Sunny, G. Naveen Sundar

Citation :

Teena A.Sunny, G. Naveen Sundar, "An Efficient Information Extraction Model for personal named entity," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 3, pp. 446-449, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I3P147

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. 

Keywords

Unsupervised learning, recall, Ambiguity, Bigrams, attribute extraction, clustering, tokens.

References

[1] Alexander Strehl, Joydeep Ghosh, and Raymond Mooney, “Impact of Similarity Measures on Web-page Clustering”, In the proceedings of AAAI Technical Report WS-00-01.
[2] Sheila Tejada, Craig A. Knoblock, Steven Minton, “Learning Domain Independent String Transformation Weights for High Accuracy Object Identification”, In proceedings of SIGKDD 2002.
[3] Artiles, Javier, Julio Gonzalo, Satoshi Sekine,“WePS 2 evaluation campaign: Overview of the web people search clustering task”, In 2nd web people search evaluation workshop, 18th www conference,(2009).
[4] Pedersen Ted, Kulkarn, nagha, “Unsupervised discrimination of person names in web contexts”, In Proceedings of the eighth international conference on intelligent text processing and computational linguistics, Mexico City, 2007.
[5] Sekine, Satoshi & Artiles, Javier, “WePS 2 evaluation campaign: overview of the web people search attribute extraction task”, In 18th www conference 2nd web people search evaluation workshop (WePS 2009).
[6] Artiles, Javier, Julio Gonzalo, Satoshi Sekine,“WePS 2 evaluation campaign: Overview of the web people search clustering task”, In 2nd web people search evaluation workshop, 18th www conference,(2009). 
[7] Pedersen Ted, Kulkarn, nagha, “Unsupervised discrimination of person names in web  contexts”, In Proceedings of the eighth international conference on intelligent text processing and computational linguistics, Mexico City, 2007. 
[8] Sekine, Satoshi & Artiles, Javier, “WePS 2 evaluation campaign: overview of the web people search attribute extraction task”, In 18th www conference 2nd web people search evaluation workshop (WePS 2009).
[9] G. Naveen Sundar, Teena A. Sunny, “Optimized Clustering for Personal Name Information Extraction”, In the proceedings of IJCST 2012. 
[10] Javier Artiles, Julio Gonzalo, Satoshi Sekine “The SemEval2007WePS Evaluation: Establishing a benchmark for the Web People Search Task”, In the Proceedings of the 4th International Workshop on Semantic Evaluations, pages 64–69 (SemEval 2007).