Transformable Convolutional Neural Network for Text Classification | IJCAI
Convolutional neural networks (CNNs) have shown their promising performance for natural language processing tasks, which extract n-grams as features to represent the input. However, n-gram based CNNs are inherently limited to fixed geometric structure and cannot proactively adapt to the transformations of features. In this paper, we propose two modules to provide CNNs with the flexibility for comp
Convolutional Neural Tensor Network Architecture for Community-based Question Answering
Convolutional Neural Tensor Network Architecture for Community-based Question Answering Xipeng Qiu and Xuanjing Huang Shanghai Key Laboratory of Data Science, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China xpqiu@fudan.edu.cn, xjhuang@fudan.edu.cn Abstract Retrieving similar questions is very important in community-based question answering. A major
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