[NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP

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pytorch -- CNN 文本分类 -- 《 Convolutional Neural Networks for Sentence Classification》

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《Convolutional Neural Networks for Sentence Classification》文本分类

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[NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP

1. Overview 本文将CNN用于句子分类任务 (1) 使用静态vector + CNN即可取得很好的效果:=> 这表明预训练的vector是universal的特征提取器,可以被用于多种分类任务中. (2) 根据特定任务进行fine-tuning 的vector + CNN 取得了更好的效果. (3) 改进模型架构,使得可以使用 task-specific 和 static 的vector. (4) 在7项任务中的4项取得了SOTA的效果. 思考:卷积神经网络的核心思想是捕获局部特征.在…

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卷积神经网络CNN(Convolutional Neural Networks)没有原理只有实现

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