Show HN: Sense2vec model trained on all 2015 Reddit comments

Re:Show HN: Sense2vec model trained on all 2015 Reddit comments by andrewtbham on Monday February 15, 2016 @06:24PM (#11106839)

This is very cool. I have played with the word2vec download a lot and I have been sorta amazed. If you had a lot of money... like google... it would be cool to train word vectors on the whole internet.

something like this definitely makes word net obsolete. :-( http://wordnetweb.princeton.edu/perl/webwn

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Re:Show HN: Sense2vec model trained on all 2015 Reddit comments by rspeer on Monday February 15, 2016 @07:18PM (#11107046)

word2vec embeddings tend to be improved when you add WordNet (Faruqui et al., 2015): https://www.cs.cmu.edu/~hovy/papers/15HLT-retrofitting-word-...

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Re:Show HN: Sense2vec model trained on all 2015 Reddit comments by ecesena on Monday February 15, 2016 @06:58PM (#11106981)

I don't think wordnet (and similar) will ever be obsolete. From my point of view, they are a "curated" subset of the semantic that you can obtain with word2vec. The latter can fail, also on very trivial cases (I discussed geography in another comment), and curated+structured knowledge bases such as wordnet allow to overcome the limitations of any machine learning algorithm.

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Re:Show HN: Sense2vec model trained on all 2015 Reddit comments by RBerenguel on Monday February 15, 2016 @06:26PM (#11106853)

I wouldn't go as far as that, wordnet has other interesting uses (and its prolog version makes for a cool "query" language)

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