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alexandres/lexvec

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This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

6 mentions on Hacker News by 2 people: 3 stories, 3 comments · first 2016-07-27 · latest 2018-05-11

Mentions per year 6 mentions · busiest year 2017 (4)
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  1. …missing from this article is GloVe ( https://nlp.stanford.edu/projects/glove/ ) and LexVec ( https://github.com/alexandres/lexvec ) both which tend to outperform word2vec in both intrinsic and extrinsic tasks. Also of interest are methods…
    comment by serveboy · 2017-10-21 · in Word embeddings in 2017: Trends and future directions
  2. …than PMI-SVD. If you want a better explicit PMI matrix factorization, have a look at https://github.com/alexandres/lexvec and the original paper. Explains why SVD performs poorly. If you are looking for word embedding for production use,…
    comment by serveboy · 2017-10-19 · in Word vectors are awesome but you don’t need a neural network to find them
  3. …- https://github.com/stanfordnlp/GloVe [2] https://arxiv.org/pdf/1606.01283v1 - https://github.com/alexandres/lexvec
    comment by atrudeau · 2017-03-02 · in Facebook releases 300-dimensional pretrained Fasttext vectors for 90 languages