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1606.02821
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Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
9 June 2016
William L. Hamilton
J. Leskovec
Dan Jurafsky
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Papers citing
"Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change"
40 / 90 papers shown
Title
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UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation
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NLP-CIC @ DIACR-Ita: POS and Neighbor Based Distributional Models for Lexical Semantic Change in Diachronic Italian Corpora
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OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection
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Semantic coordinates analysis reveals language changes in the AI field
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RuSemShift: a dataset of historical lexical semantic change in Russian
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Andrey Kutuzov
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13 Oct 2020
IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection
Jens Kaiser
Dominik Schlechtweg
Sean Papay
Sabine Schulte im Walde
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07 Aug 2020
Word Embeddings: Stability and Semantic Change
Lucas Rettenmeier
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The Effects of Randomness on the Stability of Node Embeddings
Tobias Schumacher
Hinrikus Wolf
Martin Ritzert
Florian Lemmerich
Jan Bachmann
Florian Frantzen
Max Klabunde
Martin Grohe
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20 May 2020
Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity
Steven R. Wilson
Walid Magdy
Barbara McGillivray
Gareth Tyson
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Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora
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Valerio Di Carlo
P. Nicoli
M. Palmonari
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Simulating Lexical Semantic Change from Sense-Annotated Data
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Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
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Arvind Satyanarayan
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Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
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Petra Kralj Novak
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An Improved Historical Embedding without Alignment
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Ke Deng
Fei Hu
Li Li
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19 Oct 2019
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Sandeep Soni
Kristina Lerman
Jacob Eisenstein
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09 Sep 2019
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts
Andrey Kutuzov
Erik Velldal
Lilja Øvrelid
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Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990
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Semantic Change and Semantic Stability: Variation is Key
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A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
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Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
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M. Warglien
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Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines
Vadim Fomin
Daria Bakshandaeva
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Semantic Drift in Multilingual Representations
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Detecting Reliable Novel Word Senses: A Network-Centric Approach
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The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
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Vin Sachidananda
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Survey of Computational Approaches to Lexical Semantic Change
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Challenges in detecting evolutionary forces in language change using diachronic corpora
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Tracking the Evolution of Words with Time-reflective Text Representations
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Diachronic word embeddings and semantic shifts: a survey
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Quantifying the dynamics of topical fluctuations in language
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Richard A. Blythe
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Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
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Jordan L. Boyd-Graber
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38
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Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change
Dominik Schlechtweg
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Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg
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Words are Malleable: Computing Semantic Shifts in Political and Media Discourse
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maarten marx
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72
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Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
Andrey Kutuzov
Erik Velldal
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66
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German in Flux: Detecting Metaphoric Change via Word Entropy
Dominik Schlechtweg
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Daniel Hole
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Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library
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Colin Allen
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Exponential Family Embeddings
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Francisco J. R. Ruiz
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David M. Blei
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