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arXiv · 1608.02893

Syntactically Informed Text Compression with Recurrent Neural Networks

David Cox
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Abstract

We present a self-contained system for constructing natural language models for use in text compression. Our system improves upon previous neural network based models by utilizing recent advances in syntactic parsing -- Google's SyntaxNet -- to augment character-level recurrent neural networks. RNNs have proven exceptional in modeling sequence data such as text, as their architecture allows for modeling of long-term contextual information.

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David Cox. 2016-08-08. Syntactically Informed Text Compression with Recurrent Neural Networks. https://arxiv.org/abs/1608.02893

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