4 citations · 8 across the 4 of their papers we have counts for
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cs.CL2022
On the Curious Case of norm of Sense Embeddings
Yi Zhou, Danushka Bollegala
We show that the norm of a static sense embedding encodes information related to the frequency of that sense in the training corpus used to learn the sense embeddings. Thi…
cs.CL2022★ 1 cited
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings
Yi Zhou, Masahiro Kaneko, Danushka Bollegala
Sense embedding learning methods learn different embeddings for the different senses of an ambiguous word. One sense of an ambiguous word might be socially biased while its other s…
cs.CL2021★ 3 cited
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy
Yi Zhou, Danushka Bollegala
Contextualised word embeddings generated from Neural Language Models (NLMs), such as BERT, represent a word with a vector that considers the semantics of the target word as well it…