Recurrent Convolutional Neural Networks for Text Classification
介紹了CNN表示文本的模型之後，本篇將會分享一篇用CNN結合RNN的模型來表示文本。paper題目是Recurrent Convolutional Neural Networks for Text Classification，作者是來自中科院大學的來斯惟博士。 本文要解決的問題是文本分類，文本分類最關鍵的問題是特徵表示，傳統的方法經常會忽略上下文信息和詞序，無法捕捉到詞義。近幾年隨着深度學習的火
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相關文章
- 1. Recurrent Convolutional Neural Networks for Text Classification
- 2. 論文《Recurrent Convolutional Neural Networks for Text Classification》總結
- 3. Recurrent Convolutional Neural Networks for Text Classification閱讀筆記
- 4. 論文筆記：Recurrent Convolutional Neural Networks for Text Classification
- 5. Convolutional Neural Networks for Sentence Classification
- 6. Disconnected Recurrent Neural Networks for Text Categorization
- 7. 《Convolutional Neural Networks for Sentence Classification》
- 8. 《Character-level Convolutional Networks for Text Classification》
- 9. Very Deep Convolutional Networks for Text Classification
- 10. Graph Convolutional Networks for Text Classification