2017 AttentiveLanguageModels

• (Salton et al., 2017) ⇒ Giancarlo D. Salton, Robert J. Ross, and John D. Kelleher. (2017). “Attentive Language Models.” In: Proceedings of the 8th International Joint Conference on Natural Language Processing.

Subject Headings: Attention Mechanism, Neural Language Model.

Cited By

• http://scholar.google.com/scholar?q=%222017%22+Attentive+Language+Models

Quotes

Abstract

In this paper, we extend Recurrent Neural Network Language Models (RNN-LMs) with an attention mechanism. We show that an Attentive RNN-LM (with 14.5M parameters) achieves a better perplexity than larger RNN-LMs (with 66M parameters) and achieves performance comparable to an ensemble of 10 similar sized RNN-LMs. We also show that an Attentive RNN-LM needs less contextual information to achieve similar results to the state-of-the-art on the wikitext2 dataset.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2017 AttentiveLanguageModels	Giancarlo D. Salton Robert J. Ross John D. Kelleher			Attentive Language Models