Mittens: an Extension of GloVe for Learning Domain-Specialized Representations

Authors: Nicholas Dingwall, Christopher Potts

Abstract

We present a simple extension of the GloVe representation learning model that begins with general-purpose representations and updates them based on data from a specialized domain. We show that the resulting representations can lead to faster learning and better results on a variety of tasks.

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