semi-supervised sequence learning kind of comes at it from a slightly different angle so again for skip thought vectors we just used this vector representation as an input to a model and we fix the model itself and we just like train another model on top of this vector representation and it's a rebekah representation summarizing the whole sentence so maybe that's kind of a difficult test to summarize all the complexities of long sentences short sentences so what died all did instead was they said we'll take this language