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Dynamic Word Embeddings for Evolving Semantic Discovery
2 March 2017
Zijun Yao
Yifan Sun
Weicong Ding
Nikhil S. Rao
Hui Xiong
AI4TS
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Papers citing
"Dynamic Word Embeddings for Evolving Semantic Discovery"
50 / 69 papers shown
Title
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Inducing lexicons of in-group language with socio-temporal context
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Visualizing Temporal Topic Embeddings with a Compass
Daniel Palamarchuk
Lemara Williams
Brian Mayer
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Rebecca Faust
Larry Deschaine
Chris North
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52
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16 Sep 2024
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
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Danushka Bollegala
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Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
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Adam Tsakalidis
I. Bilal
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Terry Lyons
Maria Liakata
62
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06 Dec 2023
Can Word Sense Distribution Detect Semantic Changes of Words?
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Yi Zhou
Taichi Aida
Procheta Sen
Danushka Bollegala
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16 Oct 2023
Swap
and
Predict
\textit{Swap and Predict}
Swap and Predict
-- Predicting the Semantic Changes in Words across Corpora by Context Swapping
Taichi Aida
Danushka Bollegala
73
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16 Oct 2023
Zero-shot Cross-lingual Transfer without Parallel Corpus
Yuyang Zhang
Xiaofeng Han
Baojun Wang
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84
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07 Oct 2023
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
Ryo Nagata
Hiroya Takamura
Naoki Otani
Yoshifumi Kawasaki
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55
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19 May 2023
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings
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Danushka Bollegala
68
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15 May 2023
Computational modeling of semantic change
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108
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13 Apr 2023
VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space
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Fabian Caba Heilbron
Joon-Young Lee
Oliver Wang
Nikolas Martelaro
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22 Nov 2022
Domain-Specific Word Embeddings with Structure Prediction
Stephanie Brandl
D. Lassner
A. Baillot
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54
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06 Oct 2022
Trust in Motion: Capturing Trust Ascendancy in Open-Source Projects using Hybrid AI
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Briland Hitaj
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06 Oct 2022
Subdiffusive semantic evolution in Indo-European languages
Bogdán Asztalos
Gergely Palla
Dániel Czégel
43
1
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10 Sep 2022
Word Embedding for Social Sciences: An Interdisciplinary Survey
Akira Matsui
Emilio Ferrara
64
6
0
07 Jul 2022
Learning Backward Compatible Embeddings
Weihua Hu
Rajas Bansal
Kaidi Cao
Nikhil S. Rao
Karthik Subbian
J. Leskovec
41
17
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07 Jun 2022
Letters From the Past: Modeling Historical Sound Change Through Diachronic Character Embeddings
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Patrizia Paggio
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17 May 2022
Temporal Attention for Language Models
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Kira Radinsky
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34
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Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
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Ganesh Jawahar
Djamé Seddah
Yoav Goldberg
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0
28 Dec 2021
Understanding mobility in networks: A node embedding approach
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C. H. G. Ferreira
B. P. Santos
L. A. P. Júnior
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42
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11 Nov 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
70
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22 Jul 2021
Dynamic Language Models for Continuously Evolving Content
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NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action
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When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
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Michal Štefánik
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Petr Sojka
Radim Řehůřek
48
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19 Apr 2021
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
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Lauren F. Klein
Jacob Eisenstein
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77
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0
12 Mar 2021
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
Mauricio G. Gruppi
Sibel Adali
Pin-Yu Chen
48
6
0
30 Jan 2021
Event-Driven Query Expansion
Guy D. Rosin
Ido Guy
Kira Radinsky
NAI
45
8
0
22 Dec 2020
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
Mauricio G. Gruppi
S. Adali
Pin-Yu Chen
48
4
0
02 Dec 2020
Learning language variations in news corpora through differential embeddings
Carlos Selmo
J. F. Martínez
M. G. Beiró
José Ignacio Alvarez-Hamelin
34
0
0
13 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective
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Hanbing Qu
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Dynamic Contextualized Word Embeddings
Valentin Hofmann
J. Pierrehumbert
Hinrich Schütze
116
52
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23 Oct 2020
Enriching Word Embeddings with Temporal and Spatial Information
Hongyu Gong
S. Bhat
Pramod Viswanath
97
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0
02 Oct 2020
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Qiong Wu
Adam Hare
Sirui Wang
Yuwei Tu
Zhenming Liu
Christopher G. Brinton
Jun Luo
69
13
0
05 Aug 2020
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg
Barbara McGillivray
Simon Hengchen
Haim Dubossarsky
Nina Tahmasebi
268
242
0
22 Jul 2020
Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario
Federico Bianchi
Jacopo Tagliabue
Bingqing Yu
Luca Bigon
C. Greco
50
22
0
20 Jul 2020
Communicative need modulates competition in language change
Andres Karjus
Richard A. Blythe
S. Kirby
Kenny Smith
72
11
0
16 Jun 2020
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering
Pierluigi Cassotti
A. Caputo
Marco Polignano
Pierpaolo Basile
64
5
0
20 May 2020
RPD: A Distance Function Between Word Embeddings
Xuhui Zhou
Zaixiang Zheng
Shujian Huang
35
3
0
16 May 2020
Autoencoding Word Representations through Time for Semantic Change Detection
Adam Tsakalidis
Maria Liakata
AI4TS
65
1
0
28 Apr 2020
Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora
Federico Bianchi
Valerio Di Carlo
P. Nicoli
M. Palmonari
42
7
0
13 Apr 2020
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
Faiza Mehmood
M. Ghani
Muhammad Ali Ibrahim
Rehab Shahzadi
Muhammad Nabeel Asim
36
30
0
11 Mar 2020
An Improved Historical Embedding without Alignment
Xiaofei Xu
Ke Deng
Fei Hu
Li Li
AI4TS
31
0
0
19 Oct 2019
Generating Timelines by Modeling Semantic Change
Guy D. Rosin
Kira Radinsky
55
7
0
21 Sep 2019
Learning Dynamic Author Representations with Temporal Language Models
E. Delasalles
Sylvain Lamprier
Ludovic Denoyer
57
9
0
11 Sep 2019
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Sandeep Soni
Kristina Lerman
Jacob Eisenstein
AI4TS
66
12
0
09 Sep 2019
Back to the Future -- Sequential Alignment of Text Representations
Johannes Bjerva
Wouter M. Kouw
Isabelle Augenstein
AI4TS
39
9
0
08 Sep 2019
Learning dynamic word embeddings with drift regularisation
Syrielle Montariol
A. Allauzen
20
0
0
22 Jul 2019
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