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#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
Machine Learning Street Talk (MLST)
Using Probabilities in Machine Learning?
In your thesis, you spent some time to talk about the difference between vactors and pewter science versus vectorie. And so trying to connect those two sides together, so that the formal truth, conditional aspects of sementics with a data driven, distributional approach is possible. So in what sense? I mean, my model is also probalistic. You know, im noht i'm not getting away from an from using vectors, using probabilities in my work. But somebody could say, hey, look, my arays, you know, they're just real numbers... If if the machine learning algorithm finds it useful to to work with probabilities, they could easily be
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