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Stop Using word2vec | Stitch Fix Technology – Multithreaded
When I started playing with word2vec four years ago I needed (and luckily had) tons of supercomputer time. But because of advances in our understanding of w...
ai  nlp  language  machinelearning  text  algorithms  analysis 
15 hours ago by geetarista
dblp: HistoInformatics@DH 2016
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conference  history  interactive  nlp  people  poland  space  time  visualization 
yesterday by kintopp
Stop Using word2vec | Stitch Fix Technology – Multithreaded
When I started playing with word2vec four years ago I needed (and luckily had) tons of supercomputer time. But because of advances in our understanding of word2vec, computing word vectors now takes fifteen minutes on a single run-of-the-mill computer with standard numerical libraries1. Word vectors are awesome but you don’t need a neural network – and definitely don’t need deep learning – to find them2. So if you’re using word vectors and aren’t gunning for state of the art or a paper publication then stop using word2vec.
language  ai  nlp  word2vec 
yesterday by moonhouse
Stop Using word2vec | Stitch Fix Technology – Multithreaded
When I started playing with word2vec four years ago I needed (and luckily had) tons of supercomputer time. But because of advances in our understanding of word2vec, computing word vectors now takes fifteen minutes on a single run-of-the-mill computer with standard numerical libraries1. Word vectors are awesome but you don’t need a neural network – and definitely don’t need deep learning – to find them2. So if you’re using word vectors and aren’t gunning for state of the art or a paper publication then stop using word2vec.

When we’re finished you’ll measure word similarities:

facebook ~ twitter, google, ...

… and the classic word vector operations: zuckerberg - facebook + microsoft ~ nadella

…but you’ll do it mostly by counting words and dividing, no gradients harmed in the making!
nlp  language 
yesterday by jotjotjes

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