Grammar as a foreign language

作者: Ilya Sutskever , Geoffrey Hinton , Terry Koo , Slav Petrov , Lukasz Kaiser

DOI:

关键词:

摘要: … accurate parsers are domain specific, complex, and inefficient. In this paper we show that the domain agnostic … Our parser is also fast, processing over a hundred sentences per second …

参考文章(31)
Mary Harper, Slav Petrov, Zhongqiang Huang, Self-Training with Products of Latent Variable Grammars empirical methods in natural language processing. pp. 12- 22 ,(2010)
Ronan Collobert, Deep Learning for Efficient Discriminative Parsing international conference on artificial intelligence and statistics. pp. 224- 232 ,(2011)
Richard Socher, Andrew Y. Ng, Cliff C. Lin, Chris Manning, Parsing Natural Scenes and Natural Language with Recursive Neural Networks international conference on machine learning. pp. 129- 136 ,(2011)
Yoshua Bengio, Yoshua Bengio, Yoshua Bengio, Jan Chorowski, Kyunghyun Cho, Dzmitry Bahdanau, End-to-end continuous speech recognition using attention-based recurrent nn: First results arXiv: Neural and Evolutionary Computing. ,(2014)
Tomas Mikolov, Greg S. Corrado, Kai Chen, Jeffrey Dean, Efficient Estimation of Word Representations in Vector Space international conference on learning representations. ,(2013)
Mitch Marcus, Beatrice Santorini, Mary Ann Marcinkiewicz, None, Building a large annotated corpus of English: the penn treebank Computational Linguistics. ,vol. 19, pp. 313- 330 ,(1993) , 10.21236/ADA273556
Nal Kalchbrenner, Phil Blunsom, Recurrent Continuous Translation Models empirical methods in natural language processing. pp. 1700- 1709 ,(2013)
Alex Graves, Generating Sequences With Recurrent Neural Networks arXiv: Neural and Evolutionary Computing. ,(2013)
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan, Show and tell: A neural image caption generator computer vision and pattern recognition. pp. 3156- 3164 ,(2015) , 10.1109/CVPR.2015.7298935
Michael Collins, Three generative, lexicalised models for statistical parsing Proceedings of the 35th annual meeting on Association for Computational Linguistics -. pp. 16- 23 ,(1997) , 10.3115/976909.979620