An Attention-Based Hybrid Neural Network for Document Modeling

The purpose of document modeling is to learn low-dimensional semantic representations of text accurately for Natural Language Processing tasks. In this paper, proposed is a novel attention-based hybrid neural network model, which would extract semantic features of text hierarchically. Concretely, ou...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2017/06/01, Vol.E100.D(6), pp.1372-1375
Hauptverfasser:	HE, Dengchao, ZHANG, Hongjun, HAO, Wenning, ZHANG, Rui, HAO, Huan
Format:	Artikel
Sprache:	eng
Schlagworte:	attention-based model Bi-LSTM Convolution document modeling dynamic CNN Feature extraction Modelling Natural language processing Neural networks Semantics
Online-Zugang:	Volltext
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