Arabic Named Entity Recognition: A Feature-Driven Study

  title={Arabic Named Entity Recognition: A Feature-Driven Study},
  author={Yassine Benajiba and Mona T. Diab and Paolo Rosso},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
The named entity recognition task aims at identifying and classifying named entities within an open-domain text. This task has been garnering significant attention recently as it has been shown to help improve the performance of many natural language processing applications. In this paper, we investigate the impact of using different sets of features in three discriminative machine learning frameworks, namely, support vector machines, maximum entropy and conditional random fields for the task… CONTINUE READING
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