思想与社会2013 · 分享于 Hacker News
Efficient Estimation of Word Representations in Vector Space (2013)
探索《Efficient Estimation of Word Representations in Vector Space (2013)》的原文与 Hacker News 社区讨论,查看来源并加入阅读清单。
从论文,走向讨论
看看社区如何讨论这个想法。
来自 Hacker News 的原始讨论。不同的视角、疑问,以及值得继续思考的线索。
最多展示 100 条相关讨论。论文可能出现在评论中,并非原帖投稿内容。
在讨论中发现的引用
按 HN 条目顺序展示最近的 50 条引用来源。
Yyigitdemirag ·
Better Language Models and Their Implications
426 赞同130 评论
Yforwidur ·
What every software engineer should know about search
368 赞同55 评论
Yjpn ·
When not to use deep learning
254 赞同53 评论
Ycraigkerstiens ·
My path to OpenAI
233 赞同67 评论
Yaaronyy ·
Do I really have to cite an arXiv paper?
188 赞同110 评论
Ypamelafox ·
A visual exploration of vector embeddings
185 赞同39 评论
Yibobev ·
Why Does Integer Addition Approximate Float Multiplication?
182 赞同81 评论
Yjakek ·
Show HN: A search engine that lets you 'add' words as vectors
148 赞同64 评论
YsandGorgon ·
Hound voice search NLP demo [video]
142 赞同55 评论
Yaliostad ·
Abstractions my Deep Learning word2vec model made
125 赞同55 评论
Ylinux_devil ·
word2vec – Tool for computing continuous distributed representations of words
92 赞同25 评论
Ynolantait ·
John Searle: Consciousness in Artificial Intelligence [video]
71 赞同59 评论
Ydfrodriguez143 ·
word2vec in yhat: Word vector similarity
59 赞同15 评论
YbaristaGeek ·
Efficient Estimation of Word Representations in Vector Space (2013)
3 赞同0 评论
Ysimonw ·
Embeddings: What they are and why they matter
2 赞同0 评论
Yturing ·
Learning the Meaning of Words
1 赞同1 评论