Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation

23 August 2022

Papers citing "Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation"

8 / 8 papers shown

Title
Time Masking for Temporal Language Models Guy D. Rosin Ido Guy Kira Radinsky CLL KELM 157 66 0 12 Oct 2021
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy Yi Zhou Danushka Bollegala 23 9 0 05 Oct 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 56 35 0 09 Sep 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 210 138 0 23 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020
Dynamic Contextualized Word Embeddings Valentin Hofmann J. Pierrehumbert Hinrich Schütze 27 50 0 23 Oct 2020
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection Dominik Schlechtweg Barbara McGillivray Simon Hengchen Haim Dubossarsky Nina Tahmasebi 141 236 0 22 Jul 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013