Named Entity Recognition in Natural Language Processing: A Systematic Review

Author:

Sharma Abhishek,Amrita ,Chakraborty Sudeshna,Kumar Shivam

Publisher

Springer Singapore

Reference35 articles.

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

2. Petasis, G., Cucchiarelli, A., Velardi, P., Paliouras, G., Karkaletsis, V., & Spyropoulos, C. D. (2000). Automatic adaptation of proper noun dictionaries through cooperation of machine learning and probabilistic methods. Proceedings of SIGIR, 128–135.

3. Li, J., Sun, A., Han, J., & Li, C. (2018). A survey on deep learning for named entity recognition. IEEE Transactions On Knowledge And Data Engineering, 20.

4. Marrero, M., Urbano, J., Sánchez-Cuadrado, S., Morato, J., & Gómez-Berbís, J. M. (2013). Named entity recognition: Fallacies, challenges and opportunities. Computer Standards & Interfaces, 35, 482–489.

5. Weischedel, R., Hovy, E., Marcus, M., Palmer, M., Belvin, R., Pradhan, S., Ramshaw, L., & Xue, N. (2011). OntoNotes: A large training corpus for enhanced processing. In Handbook of natural language Processing and machine translation: DARPA global autonomous language exploitation. Springer.

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