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In this chapter we provide an overview of computational modeling for semantic change using large and semi-large textual corpora.
The influence of semantic fields on semantic change
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Historical and Comparative Linguistics , volume 6
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Explorations in the derivation of semantic representations from word co-occurrence statistics
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Automatic word sense discrimination
H. Schütze · 1998
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Placing search in context: The concept revisited
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A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus
K. Gulordava and M. Baroni · 2011
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Models and Algorithms for Automatic Detection of Language Evolution
N. N. Tahmasebi · 2013
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Temporal analysis of language through neural language models
Y. Kim, Y.-I. Chiu, K. Hanaki, D. Hegde, and S. Petrov · 2014
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Learning word sense distributions, detecting unattested senses and identifying novel senses using topic models
J. H. Lau, P. Cook, D. McCarthy, S. Gella, and T. Baldwin · 2014
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Simlex-999: Evaluating semantic models with (genuine) similarity estimation
F. Hill, R. Reichart, and A. Korhonen · 2015
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An automatic approach to identify word sense changes in text media across timescales
S. Mitra, R. Mitra, S. K. Maity, M. Riedl, C. Biemann, P. Goyal, and A. Mukherjee · 2015
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A computational evaluation of two laws of semantic change
Y. Xu and C. Kemp · 2015
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Evaluation of distributional semantic models: A holistic approach
G. Bernier-Colborne and P. Drouin · 2016
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A Bayesian model of diachronic meaning change
L. Frermann and M. Lapata · 2016
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Diachronic word embeddings reveal statistical laws of semantic change
W. L. Hamilton, J. Leskovec, and D. Jurafsky · 2016
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Analyzing lexical change in diachronic corpora
A. Koplenig · 2016
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Outta control: Laws of semantic change and inherent biases in word representation models
H. Dubossarsky, D. Weinshall, and E. Grossman · 2017
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Overview of the EVALITA 2020 Diachronic Lexical Semantics (DIACR-Ita) Task
P. Basile, A. Caputo, T. Caselli, P. Cassotti, and R. Varvara · 2020
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Linguistic variation and change in 250 years of English scientific writing: A data-driven approach
Y. Bizzoni, S. Degaetano-Ortlieb, P. Fankhauser, and E. Teich · 2020
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Analysing lexical semantic change with contextualised word representations
M. Giulianelli, M. Del Tredici, and R. Fernández · 2020
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Distributional word embeddings in modeling diachronic semantic change
A. Kutuzov · 2020
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SemEval-2020 task 1: Unsupervised Lexical Semantic Change Detection
D. Schlechtweg, B. McGillivray, S. Hengchen, H. Dubossarsky, and N. Tahmasebi · 2020
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Rushifteval: a shared task on semantic shift detection for Russian
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Time-out: Temporal referencing for robust modeling of lexical semantic change
H. Dubossarsky, S. Hengchen, N. Tahmasebi, and D. Schlechtweg · 2019
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Clustering ideological terms in historical newspaper data with diachronic word embeddings
J. Marjanen, L. Pivovarova, E. Zosa, and J. Kurunmäki · 2019
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Room to Glo: A systematic comparison of semantic change detection approaches with word embeddings
P. Shoemark, F. F. Liza, D. Nguyen, S. Hale, and B. McGillivray · 2019
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Tracing antisemitic language through diachronic embedding projections: France 1789-1914
R. Tripodi, M. Warglien, S. Levis Sullam, and D. Paci · 2019
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Evaluation of semantic change of harm-related concepts in psychology
E. Vylomova, S. Murphy, and N. Haslam · 2019
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Computational modelling of semantic change
N. Tahmasebi, A. Kutuzov, M. Giulianelli, and H. Dubossarsky
Cited in the paper.
A. Kutuzov, L. Pivovarova, et al · 2021
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Survey of computational approaches to lexical semantic change detection
N. Tahmasebi, L. Borin, and A. Jatowt · 2021
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What company do words keep? Revisiting the distributional semantics of J.R. Firth and Zellig Harris
M. Brunila and J. LaViolette · 2022
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NorDiaChange: Diachronic semantic change dataset for Norwegian
A. Kutuzov, S. Touileb, P. Mæhlum, T. Enstad, and A. Wittemann · 2022
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LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
F. D. Zamora-Reina, F. Bravo-Marquez, and D. Schlechtweg · 2022
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