CRNN: a joint neural network for redundancy detection

CRNN: a joint neural network for redundancy detection

This article proposes a novel framework for detecting redundancy in supervised sentence categorisation. Unlike traditional singleton neural network, our model incorporates character-aware convolutional neural network (Char-CNN) with character-aware recurrent neural network (Char-RNN) to form a convo...

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Bibliographic Details
Main Authors: Fu, Xinyu, Ch’ng, Eugene, Aickelin, Uwe, See, Simon
Format: Conference or Workshop Item
Published: 2017
Subjects:
Logic gates
Training
Redundancy
Recurrent neural networks
Benchmark testing
Computational modeling
Online Access:https://eprints.nottingham.ac.uk/42463/

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