1 code implementation • Findings (EMNLP) 2021 • Yang song, Xin Cai Ong, Hwee Tou Ng, Qian Lin
Current state-of-the-art supervised word sense disambiguation (WSD) systems (such as GlossBERT and bi-encoder model) yield surprisingly good results by purely leveraging pre-trained language models and short dictionary definitions (or glosses) of the different word senses.
Ranked #2 on Word Sense Disambiguation on Supervised: