-
2
-
-
80053558787
-
Natural language processing (almost) from scratch
-
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. The Journal of Machine Learning Research, 12:2493-2537.
-
(2011)
The Journal of Machine Learning Research
, vol.12
, pp. 2493-2537
-
-
Collobert, R.1
Weston, J.2
Bottou, L.3
Karlen, M.4
Kavukcuoglu, K.5
Kuksa, P.6
-
3
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research, 12:2121-2159.
-
(2011)
The Journal of Machine Learning Research
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
9
-
-
84994158659
-
Bidirectional rnn for medical event detection in electronic health records
-
Abhyuday Jagannatha and Hong Yu. 2016. Bidirectional rnn for medical event detection in electronic health records. In Proceedings of NAACL-HLT, pages 473-482.
-
(2016)
Proceedings of NAACL-HLT
, pp. 473-482
-
-
Jagannatha, A.1
Yu, H.2
-
12
-
-
84962374146
-
Biomedical named entity recognition based on extended recurrent neural networks
-
Lishuang Li, Liuke Jin, Zhenchao Jiang, Dingxin Song, and Degen Huang. 2015. Biomedical named entity recognition based on extended recurrent neural networks. In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on, pages 649-652. IEEE.
-
(2015)
Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
, pp. 649-652
-
-
Li, L.1
Jin, L.2
Jiang, Z.3
Song, D.4
Huang, D.5
-
14
-
-
85121365374
-
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
-
Association for Computational Linguistics
-
Andrew McCallum and Wei Li. 2003. Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons. In Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003-Volume 4, pages 188-191. Association for Computational Linguistics.
-
(2003)
Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003-Volume
, vol.4
, pp. 188-191
-
-
McCallum, A.1
Li, W.2
-
15
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems, pages 3111- 3119.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 3111-3119
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
16
-
-
84968813824
-
Deep patient: An unsupervised representation to predict the future of patients from the electronic health records
-
Riccardo Miotto, Li Li, Brian A Kidd, and Joel T Dudley. 2016. Deep patient: An unsupervised representation to predict the future of patients from the electronic health records. Scientific reports, 6:26094.
-
(2016)
Scientific Reports
, vol.6
, pp. 26094
-
-
Miotto, R.1
Li, L.2
Kidd, B.A.3
Dudley, J.T.4
-
17
-
-
84929501877
-
A novel method of adverse event detection can accurately identify venous thromboembolisms (vtes) from narrative electronic health record data
-
Christian M Rochefort, Aman D Verma, Tewodros Eguale, Todd C Lee, and David L Buckeridge. 2015. A novel method of adverse event detection can accurately identify venous thromboembolisms (vtes) from narrative electronic health record data. Journal of the American Medical Informatics Association, 22(1):155-165.
-
(2015)
Journal of the American Medical Informatics Association
, vol.22
, Issue.1
, pp. 155-165
-
-
Rochefort, C.M.1
Verma, A.D.2
Eguale, T.3
Lee, T.C.4
Buckeridge, D.L.5
-
21
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: A simple way to prevent neural networks from overfitting. The Journal of Machine Learning Research, 15(1):1929- 1958.
-
(2014)
The Journal of Machine Learning Research
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
|