Application of a Hybrid Bi-LSTM-CRF Model to the Task of Russian Named Entity Recognition-Reference-Cited by-同舟云学术

Application of a Hybrid Bi-LSTM-CRF Model to the Task of Russian Named Entity Recognition

Published:2017-11-28 Issue: Volume: Page:91-103
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Le The Anh,Arkhipov Mikhail Y.,Burtsev Mikhail S.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-71746-3_8

Reference23 articles.

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3. Dernoncourt F., Lee, J.Y., Szolovits P.: NeuroNER: an easy-to-use program for named-entity recognition based on neural networks. ArXiv preprint arXiv:1705.05487 (2017)

4. Lecture Notes in Computer Science;R Gareev,2013

5. Trofimov, I.V.: Person name recognition in news articles based on the persons-1000/1111-F collections. In: 16th All-Russian Scientific Conference Digital Libraries: Advanced Methods and Technologies, Digital Collection, RCDL 2014, pp. 217–221 (2014)

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