Character-Aware Neural Language Models
本篇分享的文章是Character-Aware Neural Language Models，作者是Yoon Kim、Alexander M. Rush。兩位是HarvardNLP組的學生和老師，前者貢獻了一些有意義的torch代碼，比如seq2seq+attn，後者第一次將seq2seq的模型應用到了文本摘要。 卷積神經網絡之前常常用在計算機視覺領域，用來在圖像中尋找features，前幾年被研
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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