wlin12/wang2vec

weightedword2vec

Opened this issue · 2 comments

Hi Wang,
Thanks for sharing the code. I have the following two questions.
What can weightedword2vec do ?
Is there the implementation of attention based cbow model ?

Hi,

So, the weightedword2vec code basically expects each sentence to have a weight (e.g., 0.12) as the first word, which will be multiplied by the gradient of the predictor function (ne, nce or hs).

I haven’t uploaded the code for the attention-based cbow model yet.

Cheers,
Wang Ling

On Feb 29, 2016, at 8:55 AM, wang shaonan notifications@github.com wrote:

Hi Wang,
Thanks for sharing the code. I have the following two questions.
What can weightedword2vec do ?
Is there the implementation of attention based cbow model ?


Reply to this email directly or view it on GitHub #3.

Got it. Thank you.