Learning Morpheme Representation for Mongolian Named Entity Recognition

Author:

Wang WeihuaORCID,Bao Feilong,Gao Guanglai

Funder

National Natural Science Foundation of China

Natural Science Foundation of Inner Mongolia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference52 articles.

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2. Arisoy E, Sethy A, Ramabhadran B, Chen SF (2015) Bidirectional recurrent neural network language models for automatic speech recognition. In: 2015 IEEE international conference on acoustics, speech and signal processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19–24, 2015, pp 5421–5425

3. Benajiba Y, Rosso P (2008) 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

4. Benajiba Y, Zitouni I, Diab M, Rosso P (2010) Arabic named entity recognition: using features extracted from noisy data. In: Proceedings of the ACL 2010 conference short papers, pp 281–285. Association for Computational Linguistics

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

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