Paragraph2vec
2020/08/19
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https://pixabay.com/zh/photos/attorney-law-text-of-the-law-lawyer-2730806/
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「本文的意義在於提出了一個無監督的 paragraph 向量表示模型,無監督的意義非常重大。有了 paragraph 級別的高效表示模型之後,解決類似於句子分類,檢索,問答系統,文本摘要等各種問題都會帶來極大地幫助。」
// Distributed Representations of Sentences and Documents - 知乎
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References
◎ 英文
[1] Paragraph2vec
Le, Quoc, and Tomas Mikolov. "Distributed representations of sentences and documents." International conference on machine learning. 2014.
http://proceedings.mlr.press/v32/le14.pdf
# 3.9k claps
A gentle introduction to Doc2Vec. TL;DR | by Gidi Shperber | Wisio | Medium
https://medium.com/wisio/a-gentle-introduction-to-doc2vec-db3e8c0cce5e
# 174 claps
A simple explanation of document embeddings generated using Doc2Vec | by Amar Budhiraja | Medium
https://medium.com/@amarbudhiraja/understanding-document-embeddings-of-doc2vec-bfe7237a26da
# 139 claps
Understand how to transfer your paragraph to vector by doc2vec | by Edward Ma | Towards Data Science
https://towardsdatascience.com/understand-how-to-transfer-your-paragraph-to-vector-by-doc2vec-1e225ccf102
# 376 claps
Doc2Vec tutorial using Gensim. The official Doc2Vec is great… | by Andreas Klintberg | Medium
https://medium.com/@klintcho/doc2vec-tutorial-using-gensim-ab3ac03d3a1
Doc2vec tutorial | RARE Technologies
https://rare-technologies.com/doc2vec-tutorial/
Meanings are Vectors - Seeking Wisdom
http://sanjaymeena.io/tech/word-embeddings/
Deep Learning in Recommender Systems - RecSys Summer School 2017
https://www.slideshare.net/balazshidasi/deep-learning-in-recommender-systems-recsys-summer-school-2017
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◎ 簡中
一周论文 | Word2Vec 作者Tomas Mikolov 的三篇代表作
https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650719175&idx=3&sn=6e9354461991c00ff21e29bc544fd6fc&chksm=871b07b9b06c8eafa111720a7eec96231706c527a18c68ada11c578517abc333252844434c0c&scene=0
Distributed Representations of Sentences and Documents - 知乎
https://zhuanlan.zhihu.com/p/21242559
用 Doc2Vec 得到文档/段落/句子的向量表达 - 简书
https://www.jianshu.com/p/854a59b93e09
使用paragraph2vec学习文章特征 - 簡書
https://www.jianshu.com/p/d34d61188ab5
Paragraph2vec(段向量)-------基于《Distributed Representations of Sentences and Documents》_cpluss的博客-CSDN博客_distributed representations of sentences and docum
https://blog.csdn.net/cpluss/article/details/81355923
# 227 人贊同
深度学习在推荐系统上的应用 - 知乎
https://zhuanlan.zhihu.com/p/33214451
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◎ 繁中
# 145 claps
讀paper之心得:word2vec 與 doc2vec. word2vec與doc2vec 分別為2篇paper,都是由Tomas… | by Eating | Medium
https://medium.com/@ddoo8059/%E8%AE%80paper%E4%B9%8B%E5%BF%83%E5%BE%97-word2vec-%E8%88%87-doc2vec-5c8b8daa7f12
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