《Character-level Convolutional Networks for Text Classification》
Character-level Convolutional Networks for Text Classification 概述：驗證使用字符級的CNN進行文本分類任務的可能性 筆記： 1.文本分類是個nlp經典問題，從人工標註特徵到選擇最好的機器學習分類器，目前，幾乎所有的文本分類都是基於詞的（截止2016年4月）。 2.後來人們發現cnn對於原始數據提取特徵很有用，就從cv到語音識別都開始用
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相關文章
- 1. Very Deep Convolutional Networks for Text Classification
- 2. Graph Convolutional Networks for Text Classification
- 3. Recurrent Convolutional Neural Networks for Text Classification
- 4. (35) [arXiv17] Very Deep Convolutional Networks for Text Classification
- 5. Graph Convolutional Networks for Text Classification閱讀筆記
- 6. Convolutional Neural Networks for Sentence Classification
- 7. 《Convolutional Neural Networks for Sentence Classification》
- 8. [NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP
- 9. 論文解讀：Graph Convolutional Networks for Text Classifification
- 10. Bag of Tricks for Image Classification with Convolutional Neural Networks