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We present a hierarchical convolutional document model with an architecture designed to support introspection of the document structure.
Learning Distributed Representations of Concepts
Hinton, Geoffrey E · 1986
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Deconvolutional Networks
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Natural language processing (almost) from scratch
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Transforming Auto-encoders
Hinton, G E, Krizhevsky, A, and Wang, S D · 2011
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Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Zeiler, Matthew D, Taylor, Graham W, and Fergus, Rob · 2011
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Continuous Space Translation Models for Phrase-Based Statistical Machine Translation
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Semantic Compositionality through Recursive Matrix-Vector Spaces
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Fast and Robust Neural Network Joint Models for Statistical Machine Translation
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Kalchbrenner, Nal and Blunsom, Phil
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