An Integrated Deep Generative Model for Text Classification and Generation

Text classification and generation are two important tasks in the field of natural language processing. In this paper, we deal with both tasks via Variational Autoencoder, which is a powerful deep generative model. The self-attention mechanism is introduced to the encoder. The modified encoder extra...

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Veröffentlicht in:	Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-8
Hauptverfasser:	Wang, Zheng, Wu, Qingbiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Classification Feature extraction International conferences Language Linguistics Mathematical problems Methods Natural language processing Neural networks Semantics Sentiment analysis
Online-Zugang:	Volltext
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