UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection

30 April 2020

Papers citing "UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection"

8 / 8 papers shown

Title
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings Taichi Aida Danushka Bollegala 26 8 0 15 May 2023
Predicting Long-Term Citations from Short-Term Linguistic Influence Sandeep Soni David Bamman Jacob Eisenstein 23 2 0 24 Oct 2022
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis Konstantina Dritsa Kaiti Thoma John Pavlopoulos Panos Louridas AILaw 21 1 0 23 Oct 2022
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang Daphna Keidar Andreas Opedal Zhijing Jin Mrinmaya Sachan 33 21 0 09 Mar 2022
Text analysis and deep learning: A network approach Ingo Marquart 27 0 0 08 Oct 2021
Dynamic Contextualized Word Embeddings Valentin Hofmann J. Pierrehumbert Hinrich Schütze 46 51 0 23 Oct 2020
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection Dominik Schlechtweg Barbara McGillivray Simon Hengchen Haim Dubossarsky Nina Tahmasebi 165 236 0 22 Jul 2020
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 172 231 0 27 Feb 2017