$gen$CNN: 用于单词序列预测的卷积架构

Mar, 2015

$gen$CNN: 用于单词序列预测的卷积架构

$gen$CNN: A Convolutional Architecture for Word Sequence Prediction

Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu

TL;DR提出一种名为genCNN的卷积神经网络架构，用于单词序列预测，并在机器翻译的文本生成和n-best re-ranking方面实现了比现有技术更好的性能表现。

Abstract

We propose a novel convolutional architecture, named $gen$CNN, for word sequence prediction. Different from previous work on neural network-based language modeling and generation (e.g., RNN or LSTM), we choose no