Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings

15 May 2023

Papers citing "Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings"

9 / 9 papers shown

Title
Investigating the Contextualised Word Embedding Dimensions Responsible for Contextual and Temporal Semantic Changes Taichi Aida Danushka Bollegala 28 0 0 03 Jul 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models Yi Zhou Danushka Bollegala Jose Camacho-Collados 45 1 0 19 Jun 2024
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection Taichi Aida Danushka Bollegala 32 3 0 01 Mar 2024
Can Word Sense Distribution Detect Semantic Changes of Words? Xiaohang Tang Yi Zhou Taichi Aida Procheta Sen Danushka Bollegala 33 6 0 16 Oct 2023
$$\textit{Swap and Predict}$ -- Predicting the Semantic Changes in Words across Corpora by Context Swapping$ $\textit{Swap and Predict}$ -- Predicting the Semantic Changes in Words across Corpora by Context Swapping Taichi Aida Danushka Bollegala 34 4 0 16 Oct 2023
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation Xiaohang Tang Yi Zhou Danushka Bollegala 29 6 0 23 Aug 2022
Time Masking for Temporal Language Models Guy D. Rosin Ido Guy Kira Radinsky CLL KELM 169 55 0 12 Oct 2021
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy Yi Zhou Danushka Bollegala 31 9 0 05 Oct 2021
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection Dominik Schlechtweg Barbara McGillivray Simon Hengchen Haim Dubossarsky Nina Tahmasebi 151 236 0 22 Jul 2020