Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers

Abstract

This paper explores how to balance relevance, diversity, and exclusivity in keyword-based zero-shot classifiers. The authors propose an augmentation strategy that improves classification coverage while maintaining class separation.

Publication
Proceedings of the Workshop on Semantic Evaluation (SEM@NAACL 2024)