Understanding Word Embeddings

Question

Can someone direct me to research papers that have tried to understand word embeddings?

chmodsss · Accepted Answer · 2017-06-01 14:07:20Z

1

The original papers written by Thomas Mikolov are word2vec and doc2vec.

Lecture notes given by Richard Socher is simple to understand.

word2vec explained gives an intuition how the negative sampling in word embedding works. Not the whole algorithm though.

Nevertheless, there are implementations in various languages and libraries explaining how it works in their docs.

answered Jun 1, 2017 at 14:07

chmodsss

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$\begingroup$ thanks but after the original papers...do you know if there were any other research papers that tried it. $\endgroup$
– devc
Jun 1, 2017 at 16:21
1

$\begingroup$ @devc: Glove tries to generate word embeddings too, but in a different approach. nlp.stanford.edu/pubs/glove.pdf $\endgroup$
– chmodsss
Jun 1, 2017 at 21:46
$\begingroup$ See also research.fb.com/fasttext $\endgroup$
– Emre
Aug 30, 2017 at 16:15

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