Using dependency parsing for few-shot learning in distributional semantics

no code implementations • ACL 2022 • Stefania Preda, Guy Emerson

In this work, we explore the novel idea of employing dependency parsing information in the context of few-shot learning, the task of learning the meaning of a rare word based on a limited amount of context sentences.

Dependency Parsing Few-Shot Learning