Interaction Matching for Long-Tail Multi-Label Classification

18 May 2020Sean MacAvaneyFranck DernoncourtWalter ChangNazli GoharianOphir Frieder

We present an elegant and effective approach for addressing limitations in existing multi-label classification models by incorporating interaction matching, a concept shown to be useful for ad-hoc search result ranking. By performing soft n-gram interaction matching, we match labels with natural language descriptions (which are common to have in most multi-labeling tasks)... (read more)

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