Ekaterina Shutova

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation

2021 · arXiv (Cornell University)

A critical challenge faced by supervised word sense disambiguation (WSD) is the lack of large annotated datasets with sufficient coverage of words in their diversity of senses. This inspired recent research on few-shot WSD using …

The language of prompting: What linguistic properties make a prompt successful?

2023

The latest generation of LLMs can be prompted to achieve impressive zero-shot or few-shot performance in many NLP tasks. However, since performance is highly sensitive to the choice of prompts, considerable effort has been devoted …