GloVe: Global Vectors for Word Representation
Word2Vec虽然取得了很好的效果，但模型上仍然存在明显的缺陷，比如没有考虑词序，再比如没有考虑全局的统计信息。本篇分享的是GloVe: Global Vectors for Word Representation，作者是stanford的Jeffrey Pennington, Richard Socher(metamind CEO)和Christopher Manning。同时作者还开源了相应
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相关文章
- 1. 文献阅读 - GloVe: Global Vectors for Word Representation
- 2. GloVe: Global Vectors for Word Representation必记
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- 4. 论文分享-->GloVe: Global Vectors for Word Representation
- 5. 【NLP CS224N笔记】Lecture 3 GloVe： Global Vectors for Word Representation
- 6. 【论文阅读】《GloVe: Global Vectors forWord Representation》
- 7. Word Vectors、GloVe、 and Word Senses
- 8. CS224N lecture2 Word Vectors and Word Senses
- 9. CS224n | (2) Word Vectors and Word Senses
- 10. CS224n-Lecture2-Word Vectors 2 and Word Senses