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Previous work has modeled the compositionality of words by creating character-level models of meaning, reducing problems of sparsity for rare words.
Compositional morphology for word representations and language modelling
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The foundations of arithmetic: A logico-mathematical enquiry into the concept of number
Gottlob Frege and John Langshaw Austin. 1980 · 1980
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Advances in neural information processing systems 2
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Compositionality
Zoltán Gendler Szabó. 2010 · 2010
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Domain adaptation for machine translation by mining unseen words
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Better word representations with recursive neural networks for morphology
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013 · 2013
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
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A convolutional neural network for modelling sentences
Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom. 2014 · 2014
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Component-enhanced chinese character embeddings
Yanran Li, Wenjie Li, Fei Sun, and Sujian Li. 2015 · 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 · 2015
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Radical embedding: Delving deeper to chinese radicals
Xinlei Shi, Junjie Zhai, Xudong Yang, Zehua Xie, and Chao Liu. 2015 · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C Courville, Ruslan Salakhutdinov, Richard S Zemel, and Yoshua Bengio. 2015 · 2015
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