SyntaxNet Models for the CoNLL 2017 Shared Task

Decoding with large-scale neural language models improves translation

Ashish Vaswani, Yinggong Zhao, Victoria Fossum, and David Chiang · 2013

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When and why are log-linear models self-normalizing?

Jacob Andreas and Dan Klein · 2015

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Improved transition-based parsing by modeling characters instead of words with LSTMs

Miguel Ballesteros, Chris Dyer, and Noah A. Smith · 2015

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Transition-based dependency parsing with stack long short-term memory

Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, and Noah A. Smith · 2015

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Multilingual language processing from bytes

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Dan Gillick, Cliff Brunk, Oriol Vinyals, and Amarnag Subramanya · 2015

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Character-aware neural language models

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Yoon Kim, Yacine Jernite, David Sontag, and Alexander M Rush · 2015

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Finding function in form: Compositional character models for open vocabulary word representation

Wang Ling, Chris Dyer, Alan W Black, Isabel Trancoso, Ramon Fermandez, Silvio Amir, Luis Marujo, and Tiago Luis · 2015

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Globally normalized transition-based neural networks

Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins · 2016

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Layer normalization

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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016

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Hierarchical multiscale recurrent neural networks

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Junyoung Chung, Sungjin Ahn, and Yoshua Bengio · 2016

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Exploring the limits of language modeling

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Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, and Yonghui Wu · 2016

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A character-word compositional neural language model for finnish

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Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, and Juha Karhunen · 2016

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Gated word-character recurrent language model

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Yasumasa Miyamoto and Kyunghyun Cho · 2016

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Stack-propagation: Improved representation learning for syntax

Yuan Zhang and David Weiss · 2016

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Dragnn: A transition-based framework for dynamically connected neural networks

Lingpeng Kong, Chris Alberti, Daniel Andor, Ivan Bogatyy, and David Weiss · 2017