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Statistically significant detection of semantic shifts using contextual
  word embeddings

Statistically significant detection of semantic shifts using contextual word embeddings

8 April 2021
Yang Liu
A. Medlar
D. Głowacka
ArXivPDFHTML

Papers citing "Statistically significant detection of semantic shifts using contextual word embeddings"

5 / 5 papers shown
Title
Substitution-based Semantic Change Detection using Contextual Embeddings
Substitution-based Semantic Change Detection using Contextual Embeddings
Dallas Card
28
12
0
05 Sep 2023
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
Ze Chen
Kangxu Wang
Zijian Cai
Jiewen Zheng
Jiarong He
Max Gao
Jason Zhang
MoE
14
3
0
07 Nov 2022
A Greek Parliament Proceedings Dataset for Computational Linguistics and
  Political Analysis
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
Text analysis and deep learning: A network approach
Text analysis and deep learning: A network approach
Ingo Marquart
25
0
0
08 Oct 2021
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg
Barbara McGillivray
Simon Hengchen
Haim Dubossarsky
Nina Tahmasebi
154
236
0
22 Jul 2020
1