A Survey on Contextualised Semantic Shift Detection

A Survey on Contextualised Semantic Shift Detection

4 April 2023

Francesco Periti

Papers citing "A Survey on Contextualised Semantic Shift Detection"

11 / 11 papers shown

Title
Pretraining Language Models for Diachronic Linguistic Change Discovery Elisabeth Fittschen Sabrina Li Tom Lippincott Leshem Choshen Craig Messner 26 0 0 07 Apr 2025
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media Daniel Loureiro Aminette D'Souza Areej Muhajab Isabella A. White Gabriel Wong Luis Espinosa Anke Leonardo Neves Francesco Barbieri Jose Camacho-Collados 29 25 0 15 Sep 2022
LSCDiscovery: A shared task on semantic change discovery and detection in Spanish Frank D. Zamora-Reina Felipe Bravo-Marquez Dominik Schlechtweg 41 21 0 13 May 2022
Time Masking for Temporal Language Models Guy D. Rosin Ido Guy Kira Radinsky CLL KELM 169 66 0 12 Oct 2021
Grammatical Profiling for Semantic Change Detection Mario Giulianelli Andrey Kutuzov Lidia Pivovarova 41 13 0 21 Sep 2021
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses Aina Garí Soler Marianna Apidianaki MILM 209 68 0 29 Apr 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 138 0 23 Jan 2021
Dynamic Contextualized Word Embeddings Valentin Hofmann J. Pierrehumbert Hinrich Schütze 39 51 0 23 Oct 2020
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection Dominik Schlechtweg Barbara McGillivray Simon Hengchen Haim Dubossarsky Nina Tahmasebi 148 236 0 22 Jul 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 245 31,267 0 16 Jan 2013