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Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named
  Entity Recognition
v1v2 (latest)

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

27 September 2017
L. T. Anh
M. Y. Arkhipov
M. Burtsev
ArXiv (abs)PDFHTML

Papers citing "Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition"

3 / 3 papers shown
On the Vietnamese Name Entity Recognition: A Deep Learning Method
  Approach
On the Vietnamese Name Entity Recognition: A Deep Learning Method ApproachConference on Research, Innovation and Vision for the Future in Computing & Communication Technologies (VFCCT), 2019
Ngoc-Cam Le
Ngoc-Yen Nguyen
A. Trinh
105
5
0
18 Nov 2019
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity
  Recognition
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity RecognitionRecent Advances in Natural Language Processing (RANLP), 2019
L. Simeonova
K. Simov
P. Osenova
Preslav Nakov
339
8
0
27 Aug 2019
Syllable-based Neural Named Entity Recognition for Myanmar Language
Syllable-based Neural Named Entity Recognition for Myanmar Language
Hsu Myat Mo
K. Soe
82
3
0
12 Mar 2019
1
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