Compositional Distributional Semantics with Long Short Term Memory

Phong Le; Willem Zuidema

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arXiv · 1503.02510

Compositional Distributional Semantics with Long Short Term Memory

Phong Le·Willem Zuidema

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Abstract

We are proposing an extension of the recursive neural network that makes use of a variant of the long short-term memory architecture. The extension allows information low in parse trees to be stored in a memory register (the `memory cell') and used much later higher up in the parse tree. This provides a solution to the vanishing gradient problem and allows the network to capture long range dependencies. Experimental results show that our composition outperformed the traditional neural-network composition on the Stanford Sentiment Treebank.

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Phong Le, Willem Zuidema. 2015-03-09. Compositional Distributional Semantics with Long Short Term Memory. https://arxiv.org/abs/1503.02510

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