A Deep Network with Visual Text Composition Behavior

Hongyu Guo

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arXiv · 1707.01555

A Deep Network with Visual Text Composition Behavior

Hongyu Guo

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Abstract

While natural languages are compositional, how state-of-the-art neural models achieve compositionality is still unclear. We propose a deep network, which not only achieves competitive accuracy for text classification, but also exhibits compositional behavior. That is, while creating hierarchical representations of a piece of text, such as a sentence, the lower layers of the network distribute their layer-specific attention weights to individual words. In contrast, the higher layers compose meaningful phrases and clauses, whose lengths increase as the networks get deeper until fully composing the sentence.

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Hongyu Guo. 2017-07-05. A Deep Network with Visual Text Composition Behavior. https://arxiv.org/abs/1707.01555

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