Arabic Named Entity Recognition Using Clustered Word Embedding

Author:

Sabty Caroline,Elmahdy Mohamed,Abdennadher Slim

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvisticae Investigationes 30, 3–26 (2007)

2. Lafferty, J., McCallum, A., Pereira, F.C.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the 18th International Conference on Machine Learning, pp. 282–289 (2001)

3. Benajiba, Y., Rosso, P.: Arabic named entity recognition using conditional random fields. In: Proceedings of Workshop on HLT & NLP within the Arabic World, LREC, vol. 8, pp. 143–153(2008)

4. Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)

5. Bengio, Y., Ducharme, R., Vincent, P., Jauvin, C.: A neural probabilistic language model. J. Mach. Learn. Res. 3, 1137–1155 (2003)

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