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year = 2015 (14 entries)  Select: All None   Action: Show BibTeX

Osman Başkaya. 2015. Analysis of Context Embeddings in Word Sense Induction, November. Koç University. [ai.ku, scode] url google scholar
Greg Durrett and Dan Klein. 2015. Neural CRF Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 302--312, Beijing, China, July. Association for Computational Linguistics. [dparse] url google scholar
David Weiss, Chris Alberti, Michael Collins and Slav Petrov. 2015. Structured Training for Neural Network Transition-Based Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 323--333, Beijing, China, July. Association for Computational Linguistics. [dparse] url annote google scholar
Taro Watanabe and Eiichiro Sumita. 2015. Transition-based Neural Constituent Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 1169--1179, Beijing, China, July. Association for Computational Linguistics. [dparse] url annote google scholar
Hao Zhou, Yue Zhang, Shujian Huang and Jiajun Chen. 2015. A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 1213--1222, Beijing, China, July. Association for Computational Linguistics. [dparse] url annote google scholar
Ergun Biçici and Deniz Yuret. 2015. Optimizing Instance Selection for Statistical Machine Translation with Feature Decay Algorithms. IEEE Transactions on Audio, Speech and Language Processing, vol 23, no 2, pp 339--350, February. IEEE. [ai.ku] url pdf google scholar
Atilim Gunes Baydin, Barak A Pearlmutter, Alexey Andreyevich Radul and Jeffrey Mark Siskind. 2015. Automatic differentiation in machine learning: a survey. arXiv preprint arXiv:1502.05767. [knet] url google scholar
Alkan Kabakcioglu, Onur Varol, Deniz Yuret and Burak Erman. 2015. Functionally important residues from mode coupling during short-time protein dynamics. In APS Meeting Abstracts, vol 1, pp 48009. [ai.ku] google scholar
Onur Varol, Deniz Yuret, Burak Erman and Alkan Kabakcioglu. 2015. Functionally Important Residues from Mode Coupling during Short-Time Protein Dynamics. Biophysical Journal, vol 108, no 2, pp 377a. Elsevier. [ai.ku] google scholar
Dougal Maclaurin, David Duvenaud and Ryan P Adams. 2015. Autograd: Effortless Gradients in Numpy. In ICML 2015 AutoML Workshop. [knet] pdf pdf url google scholar
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. 2015. Human-level control through deep reinforcement learning. Nature, vol 518, no 7540, pp 529--533. Nature Publishing Group pdf google scholar
Andrej Karpathy. 2015. The unreasonable effectiveness of recurrent neural networks. [cwc] url google scholar
James Pustejovsky. 2015. A Guide to Semantic Primitives. [cwc] pdf google scholar
Chris Dyer. 2015. Notes on Noise Contrastive Estimation and Negative Sampling. [dparse] pdf google scholar

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