Bengali Named Entity Recognition Using Support Vector Machine

@inproceedings{Ekbal2008BengaliNE,
  title={Bengali Named Entity Recognition Using Support Vector Machine},
  author={Asif Ekbal and Sivaji Bandyopadhyay},
  booktitle={IJCNLP 2008},
  year={2008}
}
Named Entity Recognition (NER) aims to classify each word of a document into predefined target named entity classes and is nowadays considered to be fundamental for many Natural Language Processing (NLP) tasks such as information retrieval, machine translation, information extraction, question answering systems and others. This paper reports about the development of a NER system for Bengali using Support Vector Machine (SVM). Though this state of the art machine learning method has been widely… CONTINUE READING
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Key Quantitative Results

  • Experimental results of the 10-fold cross validation test show the effectiveness of the proposed SVM based NER system with the overall average Recall, Precision and F-Score of 94.3%, 89.4% and 91.8%, respectively.

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References

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Showing 1-10 of 22 references

A Webbased Bengali News Corpus for Named Entity Recognition

  • Ekbal, Asif, S. Bandyopadhyay.
  • Language Resources and Evaluation Journal (To…
  • 2007
Highly Influential
2 Excerpts

Lexical Pattern Learning from Corpus Data for Named Entity Recognition

  • Ekbal, Asif, S. Bandyopadhyay.
  • Proc. of ICON, India, 123-128.
  • 2007
Highly Influential
2 Excerpts

Named Entity Recognition and Transliteration in Bengali

  • Ekbal, Asif, Naskar, Sudip, S. Bandyopadhyay.
  • Named Entities: Recognition, Classification and…
  • 2007
Highly Influential
2 Excerpts

Pattern Based Bootstrapping Method for Named Entity Recognition

  • Ekbal, Asif, S. Bandyopadhyay.
  • Proceedings of ICAPR, India, 349-355.
  • 2007
Highly Influential
2 Excerpts

Japanese Named Entity Extraction using Support Vector Machine

  • Yamada, Hiroyasu, Taku Kudo, Yuji Matsumoto.
  • Transactions of IPSJ, Vol. 43, No. 1, 44-53.
  • 2002
1 Excerpt

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