4 citations · 10 across the 14 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
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
Xiaohang Tang, Yi Zhou, Danushka Bollegala
Dynamic contextualised word embeddings (DCWEs) represent the temporal semantic variations of words. We propose a method for learning DCWEs by time-adapting a pretrained Masked Lang…
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…