論 文Papers

CONFERENCE (INTERNATIONAL)

Better Exploiting Latent Variables in Text Modeling

Canasai Kruengkrai

The 57th Annual Meeting of the Association for Computational Linguistics (ACL-2019) poster, 2019/7

Category:

自然言語処理 (Natural Language Processing)

Abstract:
We show that sampling latent variables multiple times at a gradient step helps in improving a variational autoencoder and propose a simple and effective method to better exploit these latent variables through hidden state averaging. Consistent gains in performance on two different datasets, Penn Treebank and Yahoo, indicate the generalizability of our method.

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Better Exploiting Latent Variables in Text Modeling(外部サイト/External Site Link)