Topic Memory Networks for Short Text Classification

EMNLP 2018 Jichuan ZengJing LiYan SongCuiyun GaoMichael R. LyuIrwin King

Many classification models work poorly on short texts due to data sparsity. To address this issue, we propose topic memory networks for short text classification with a novel topic memory mechanism to encode latent topic representations indicative of class labels... (read more)

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