Integrated Machine Learning Techniques for Arabic Named Entity Recognition

@inproceedings{AbdelRahman2010IntegratedML,
  title={Integrated Machine Learning Techniques for Arabic Named Entity Recognition},
  author={Samir AbdelRahman and Mohamed Elarnaoty and Marwa Magdy and Aly Fahmy},
  year={2010}
}
Named Entity Recognition (NER) task has become essential to improve the performance of many NLP tasks. Its aim is to endeavor a solution to boost accurately the identification of extracted named entities. This paper presents a novel solution for Arabic Named Entity Recognition (ANER) problem. The solution is an integration approach between two machine learning techniques, namely bootstrapping semi-supervised pattern recognition and Conditional Random Fields (CRF) classifier as a supervised… CONTINUE READING
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