Exemplar Guided Active Learning

Exemplar Guided Active Learning (EGAL) is a method we developed to economically annotate training data for tasks with extremely skewed label distributions, such as disambiguating rare word senses.

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Presented at NeurIPS 2020

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ABOUT THE AUTHOR

Jason Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev and Barak Lenz

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