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Capturing Evolution in Word Usage: Just Add More Clusters?

Capturing Evolution in Word Usage: Just Add More Clusters?

18 January 2020
Matej Martinc
Syrielle Montariol
Elaine Zosa
Lidia Pivovarova
ArXivPDFHTML

Papers citing "Capturing Evolution in Word Usage: Just Add More Clusters?"

7 / 7 papers shown
Title
Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI
  Research
Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research
Susanne Hindennach
Lei Shi
Filip Miletić
Andreas Bulling
8
4
0
19 Dec 2023
Substitution-based Semantic Change Detection using Contextual Embeddings
Substitution-based Semantic Change Detection using Contextual Embeddings
Dallas Card
28
12
0
05 Sep 2023
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
Slangvolution: A Causal Analysis of Semantic Change and Frequency
  Dynamics in Slang
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang
Daphna Keidar
Andreas Opedal
Zhijing Jin
Mrinmaya Sachan
27
20
0
09 Mar 2022
Temporal Attention for Language Models
Temporal Attention for Language Models
Guy D. Rosin
Kira Radinsky
VLM
31
33
0
04 Feb 2022
Dynamic Contextualized Word Embeddings
Dynamic Contextualized Word Embeddings
Valentin Hofmann
J. Pierrehumbert
Hinrich Schütze
39
51
0
23 Oct 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
1