(32)[AAAI16] Character-Aware Neural Language Models
計劃完成深度學習入門的126篇論文第三十二篇，Harvard的Yoon Kim發表的character級別的語言模型。[github] Abstract 我們描述了一個簡單的神經語言模型，它只依賴於字符級的輸入。預測仍然是在文字層面進行的。該模型採用卷積神經網絡(CNN)和highway network對字符進行處理，輸出爲長短時記憶(LSTM)遞歸神經網絡語言模型(RNN-LM)。在Penn T
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相關文章
- 1. Character-Aware Neural Language Models
- 2. (32)[AAAI16] Character-Aware Neural Language Models
- 3. 【論文筆記】Character-Aware Neural Language Models
- 4. CS224n-08 Recurrent Neural Networks and Language Models
- 5. Lecture 6: Language Models and Recurrent Neural Networks
- 6. 《A Neural Probabilistic Language Model》
- 7. 論文閱讀：《A Primer on Neural Network Models for Natural Language Processing》（一）
- 8. 論文閱讀：《A Primer on Neural Network Models for Natural Language Processing》（二）
- 9. cs224n Lecture6 Language Models and RNNs
- 10. GPT2--Language Models are Unsupervised Multitask Learners