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。两位是HarvardNLP组的学生和老师，前者贡献了一些有意义的torch代码，比如seq2seq+attn，后者第一次将seq2seq的模型应用到了文本摘要。 卷积神经网络之前常常用在计算机视觉领域，用来在图像中寻找features，前几年被研
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相关文章
- 1. Character-Aware Neural Language Models
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- 4. CS224n-08 Recurrent Neural Networks and Language Models
- 5. Lecture 6: Language Models and Recurrent Neural Networks
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- 7. 论文阅读：《A Primer on Neural Network Models for Natural Language Processing》（一）
- 8. 论文阅读：《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