2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
NeurIPS 2020poster
The dominant approaches to text representation in natural language rely on learning embeddings on massive corpora which have convenient properties such as compositionality and distance preservation. In this paper, we develop a novel method to learn a heavy-tailed embedding with desirable regularity…