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Google has been to busy trying to lift methods from Berkeley Lab and passing it off as their own, in particular Tomas Mikolov https://www.kaggle.com/c/word2vec-
by thpalmear 10y ago
Google has been to busy trying to lift methods from Berkeley Lab and passing it off as their own, in particular Tomas Mikolov https://www.kaggle.com/c/word2vec-nlp-tutorial/forums/t/12349/word2vec-is-based-on-an-approach-from-lawrence-berkeley-national-lab https://www.kaggle.com/c/word2vec-nlp-tutorial/forums/t/1234...
- wodenokoto 10y agoYou need a better argument than "somebody else has been working on word vectors before Google" No shit.
- thpalmear 10y agoThat's not what was said. It's how the feature attributes in the vectors are constructed, scored and ranked in addition to the calculations used to score vectors for similarity.