Convolutional Neural Networks for Sentence Classification

EMNLP 2014
Pages: 1746 - 1751
Published: Aug 25, 2014
Abstract
We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks. We show that a simple CNN with little hyperparameter tuning and static vectors achieves excellent results on multiple benchmarks. Learning task-specific vectors through fine-tuning offers further gains in performance. We additionally propose a simple modification to the architecture to...
Paper Details
Title
Convolutional Neural Networks for Sentence Classification
Published Date
Aug 25, 2014
Journal
Pages
1746 - 1751
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