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A comment on The Berkeley Document Summarizer: Learning-Based, Single-Document Summarization. Parent comment

Re:The Berkeley Document Summarizer: Learning-Based, Single-... by thpalmear on Sunday October 02, 2016 @03:48AM (#12621440)
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/1234...
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Re:The Berkeley Document Summarizer: Learning-Based, Single-... by wodenokoto on Sunday October 02, 2016 @09:11AM (#12622151)
You need a better argument than "somebody else has been working on word vectors before Google"

No shit.

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Re:The Berkeley Document Summarizer: Learning-Based, Single-... by thpalmear on Monday October 03, 2016 @12:24AM (#12625509)
That'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.
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