Convolutional Neural Network For Sentence Classification
用卷積神經網絡對句子分類 Yoon Kim 紐約大學 [email protected] 摘要 針對句子級別的分類任務，我們使用卷積神經網絡（CNN）結合預訓練的詞向量做了一系列的實驗。我們證明一個少量調節超參數的簡單CNN模型結合靜態詞向量可以在很多基準上取得非常好的結果。通過細粒度的調節參數學習特定任務的詞向量可以進一步的提升結果。我們提出了對架構簡單的修改，這樣可以同時使用基於特定任務和靜態
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相關文章
- 1. 論文筆記：Convolutional Neural Network for Sentence Classification
- 2. Convolutional Neural Networks for Sentence Classification
- 3. 《Convolutional Neural Networks for Sentence Classification》
- 4. 論文《Convolutional Neural Networks for Sentence Classification》總結
- 5. 論文閱讀：《Convolutional Neural Networks for Sentence Classification》
- 6. 《Convolutional Neural Networks for Sentence Classification》論文研讀
- 7. Convolutional Neural Networks for Sentence Classification 閱讀筆記
- 8. Convolutional Neural Networks for Sentence Classification（閱讀理解）
- 9. [NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP
- 10. 《ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs》