LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification

S. K. Hong, Tae Young Jang. LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 99-106, Association for Computational Linguistics, 2022. [doi]

Abstract

Abstract is missing.