Arabic Named Entity Recognition: A Feature-Driven Study

@article{Benajiba2009ArabicNE,
  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},
  year={2009},
  volume={17},
  pages={926-934}
}
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
Highly Cited
This paper has 68 citations. REVIEW CITATIONS

Citations

Publications citing this paper.

69 Citations

01020'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 69 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 36 references

The importance of named entities in cross - lingual question answering , ” in

  • A. Ittycheriah, H. Jing, T. Zhang
  • Proc . Recent Adv . Natural Lang . Process…
  • 2007

The importance of named entities in cross-lingual question answering

  • S. Ferrández, O. Ferrández, A. Ferrández, R. Muñoz
  • Proc. Recent Adv. Natural Lang. Process. RANLP…
  • 2007
1 Excerpt

Similar Papers

Loading similar papers…