End-to-end Recurrent Neural Network Models for Vietnamese Named Entity
Recognition: Word-level vs. Character-level

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End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level

11 May 2017

Thai-Hoang Pham

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Papers citing "End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level"

9 / 9 papers shown

Title
Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference Hong Phuong Le 45 17 0 18 Oct 2016
Neural Architectures for Named Entity Recognition Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer 232 4,018 0 04 Mar 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF Xuezhe Ma Eduard H. Hovy 118 2,659 0 04 Mar 2016
Named Entity Recognition with Bidirectional LSTM-CNNs Jason P. C. Chiu Eric Nichols 91 1,901 0 26 Nov 2015
Bidirectional LSTM-CRF Models for Sequence Tagging Zhiheng Huang Wenyuan Xu Kai Yu 186 4,035 0 09 Aug 2015
Boosting Named Entity Recognition with Neural Character Embeddings Cicero Nogueira dos Santos Victor Guimarães 57 340 0 19 May 2015
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 230 8,529 0 22 Mar 2013
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 209 5,361 0 21 Nov 2012
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 209 7,729 0 02 Mar 2011

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