A new algorithm (DAMA) learns a per-domain scalar step size that modulates the input's domain information via gradients, yielding a modest 0.3% average accuracy improvement over a multi-task baseline.
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Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
A new algorithm (DAMA) learns a per-domain scalar step size that modulates the input's domain information via gradients, yielding a modest 0.3% average accuracy improvement over a multi-task baseline.