Fetching the paper…
Reading the bibliography…
The computational study of lexical semantic change (LSC) has taken off in the past few years and we are seeing increasing interest in the field, from both computational sciences and linguistics.
Comment les mots changent de sens
Antoine Meillet. 1905 · 1905
Earlier work this paper cites.
Swift, swiftly and their synonyms. A contribution to semantic analysis and theory
Nils Gustaf Stern. 1921 · 1921
Earlier work this paper cites.
Language history: from Language
Leonard Bloomfield. 1933 · 1933
Earlier work this paper cites.
Distributional structure
Zellig S Harris. 1954 · 1954
Earlier work this paper cites.
Science and statistics
George EP Box. 1976 · 1976
Earlier work this paper cites.
Work on statistical methods for word sense disambiguation
W. A Gale, K. W Church, and D. Yarowsky. 1992 · 1992
Earlier work this paper cites.
Prinzipien des lexikalischen Bedeutungswandels am Beispiel der romanischen Sprachen
Andreas Blank. 1997 · 1997
Earlier work this paper cites.
Diachronic prototype semantics: A contribution to historical lexicology
Dirk Geeraerts. 1997 · 1997
Earlier work this paper cites.
“I don’t believe in word senses”
Adam Kilgarriff. 1997 · 1997
Earlier work this paper cites.
Automatic word sense discrimination
Hinrich Schütze. 1998 · 1998
Earlier work this paper cites.
Why do new meanings occur? a cognitive typology of the motivations for lexical semantic change
Andreas Blank. 1999 · 1999
Earlier work this paper cites.
Historical semantics and cognition , volume 13
Andreas Blank and Peter Koch. 1999 · 1999
Earlier work this paper cites.
Informatique, normes et temps
Isabelle Boydens. 1999 · 1999
Earlier work this paper cites.
Describing polysemy: The case of ‘crawl’
Charles J Fillmore and Beryl TS Atkins. 2000 · 2000
Earlier work this paper cites.
Regularity in semantic change , volume 97
Elizabeth Closs Traugott and Richard B Dasher. 2001 · 2001
Earlier work this paper cites.
Visions of politics. Vol. 1, Regarding method
Quentin Skinner. 2002 · 2002
Earlier work this paper cites.
Futures past: on the semantics of historical time
Reinhart Koselleck. 2004 · 2004
Earlier work this paper cites.
Changements sémantiques et cognition: différentes méthodes pour différentes échelles temporelles
Jean-Philippe Magué. 2005 · 2005
Earlier work this paper cites.
Ontonotes: The 90% solution
Eduard Hovy, Mitchell Marcus, Martha Palmer, Lance Ramshaw, and Ralph Weischedel. 2006 · 2006
Earlier work this paper cites.
The Corpus of Historical American English (COHA): 400 million words, 1810-2009
Mark Davies. 2002 · 2009
Earlier work this paper cites.
Automatically Identifying Changes in the Semantic Orientation of Words
P. Cook and S. Stevenson. 2010 · 2010
Earlier work this paper cites.
Vom Sinn und Unsinn der Geschichte: Aufsätze und Vorträge aus vier Jahrzehnten , 1. aufl. edition
Reinhart Koselleck. 2010 · 2010
Earlier work this paper cites.
Software Framework for Topic Modelling with Large Corpora
Radim Řehůřek and Petr Sojka. 2010 · 2010
Earlier work this paper cites.
On achieving and evaluating language-independence in NLP
Emily M. Bender. 2011 · 2011
Earlier work this paper cites.
A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus
K. Gulordava and M. Baroni. 2011 · 2011
Earlier work this paper cites.
On History
Eric Hobsbawm. 2011 · 2011
Earlier work this paper cites.
Quantitative analysis of culture using millions of digitized books
Jean-Baptiste Michel, Yuan Kui Shen, Aviva Presser Aiden, Adrian Veres, Matthew K Gray, Joseph P Pickett, Dale Hoiberg, Dan Clancy, Peter Norvig, Jon Orwant, et al. 2011 · 2011
Earlier work this paper cites.
Sins of a historian: Perspectives on the problem of anachronism
Sami Syrjämäki. 2011 · 2011
Earlier work this paper cites.
Understanding semantic change of words over centuries
Derry Tanti Wijaya and Reyyan Yeniterzi. 2011 · 2011
Earlier work this paper cites.
Distributional semantics in technicolor
Elia Bruni, Gemma Boleda, Marco Baroni, and Nam-Khanh Tran. 2012 · 2012
Earlier work this paper cites.
Word sense induction for novel sense detection
Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, and Timothy Baldwin. 2012 · 2012
Earlier work this paper cites.
Natural language processing for historical texts
Michael Piotrowski. 2012 · 2012
Earlier work this paper cites.
Measuring word meaning in context
Katrin Erk, Diana McCarthy, and Nicholas Gaylord. 2013 · 2013
Earlier work this paper cites.
On the applicability of word sense discrimination on 201 years of modern english
Nina Tahmasebi, Kai Niklas, Gideon Zenz, and Thomas Risse. 2013 · 2013
Earlier work this paper cites.
Models and Algorithms for Automatic Detection of Language Evolution
Nina N. Tahmasebi. 2013 · 2013
Cited alongside, same era.
Trawling in the sea of the great unread: Sub-corpus topic modeling and humanities research
Timothy R Tangherlini and Peter Leonard. 2013 · 2013
Cited alongside, same era.
Novel word-sense identification
Paul Cook, Jey Han Lau, Diana McCarthy, and Timothy Baldwin. 2014 · 2014
Cited alongside, same era.
From non word to new word: Automatically identifying neologisms in French newspapers
Ingrid Falk, Delphine Bernhard, and Christophe Gérard. 2014 · 2014
Cited alongside, same era.
Temporal analysis of language through neural language models
Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, and Slav Petrov. 2014 · 2014
Cited alongside, same era.
A bottom up approach to category mapping and meaning change
Haim Dubossarsky, Yulia Tsvetkov, Chris Dyer, and Eitan Grossman. 2015 · 2015
Searching for Dr. Johnson: The digitisation of the Burney Newspaper Collection
Andrew Prescott. 2018 · 2018
Later among the works it cites.
Deep neural models of semantic shift
Alex Rosenfeld and Katrin Erk. 2018 · 2018
Later among the works it cites.
Dynamic embeddings for language evolution
Maja Rudolph and David Blei. 2018 · 2018
Later among the works it cites.
Diachronic usage relatedness (DURel): A framework for the annotation of lexical semantic change
Dominik Schlechtweg, Sabine Schulte im Walde, and Stefanie Eckmann. 2018 · 2018
Later among the works it cites.
Survey of computational approaches to lexical semantic change detection
Nina Tahmasebi, Lars Borin, and Adam Jatowt. 2018 · 2018
Later among the works it cites.
Authorless topic models: Biasing models away from known structure
Laure Thompson and David Mimno. 2018 · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Ad hoc monitoring of vocabulary shifts over time
Tom Kenter, Melvin Wevers, Pim Huijnen, and Maarten De Rijke. 2015 · 2015
Cited alongside, same era.
Statistically significant detection of linguistic change
Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi, and Steven Skiena. 2015 · 2015
Cited alongside, same era.
An automatic approach to identify word sense changes in text media across timescales
Sunny Mitra, Ritwik Mitra, Suman Kalyan Maity, Martin Riedl, Chris Biemann, Pawan Goyal, and Animesh Mukherjee. 2015 · 2015
Cited alongside, same era.
Characterizing the google books corpus: Strong limits to inferences of socio-cultural and linguistic evolution
Eitan Adam Pechenick, Christopher M Danforth, and Peter Sheridan Dodds. 2015 · 2015
Cited alongside, same era.
A Computational Evaluation of Two Laws of Semantic Change
Y. Xu and C. Kemp. 2015 · 2015
Cited alongside, same era.
On the linearity of semantic change: Investigating meaning variation via dynamic graph models
Steffen Eger and Alexander Mehler. 2016 · 2016
Cited alongside, same era.
Later among the works it cites.
Semantic change and semantic stability: Variation is key
Claire Bowern. 2019 · 2019
Later among the works it cites.
Time-out: Temporal referencing for robust modeling of lexical semantic change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, and Dominik Schlechtweg. 2019 · 2019
Later among the works it cites.
SURel: A gold standard for incorporating meaning shifts into term extraction
Anna Hätty, Dominik Schlechtweg, and Sabine Schulte im Walde. 2019 · 2019
Later among the works it cites.
A data-driven approach to the changing vocabulary of the ’nation’ in English, Dutch, Swedish and Finnish newspapers, 1750-1950
Simon Hengchen, Ruben Ros, and Jani Marjanen. 2019 · 2019
Later among the works it cites.
Diachronic sense modeling with deep contextualized word embeddings: An ecological view
Renfen Hu, Shen Li, and Shichen Liang. 2019 · 2019
Later among the works it cites.
Contextualized diachronic word representations
Ganesh Jawahar and Djamé Seddah. 2019 · 2019
Later among the works it cites.
A computational approach to lexical polysemy in Ancient Greek
Barbara McGillivray, Simon Hengchen, Viivi Lähteenoja, Marco Palma, and Alessandro Vatri. 2019 · 2019
Later among the works it cites.
GASC: Genre-aware semantic change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith, and Barbara McGillivray. 2019 · 2019
Later among the works it cites.
Modeling language variation and universals: A survey on typological linguistics for natural language processing
Edoardo Maria Ponti, Helen O’Horan, Yevgeni Berzak, Ivan Vulić, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, and Anna Korhonen. 2019 · 2019
Later among the works it cites.
Room to Glo: A systematic comparison of semantic change detection approaches with word embeddings
Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen, Scott Hale, and Barbara McGillivray. 2019 · 2019
Later among the works it cites.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change . Association for Computational Linguistics, Florence, Italy
Nina Tahmasebi, Lars Borin, Adam Jatowt, and Yang Xu, editors. 2019 · 2019
Later among the works it cites.
The strengths and pitfalls of large-scale text mining for literary studies
Nina Tahmasebi and Simon Hengchen. 2019 · 2019
Later among the works it cites.
Studying laws of semantic divergence across languages using cognate sets
Ana Uban, Alina Maria Ciobanu, and Liviu P. Dinu. 2019 · 2019
Later among the works it cites.
Overview of the EVALITA 2020 Diachronic Lexical Semantics (DIACR-Ita) Task
Pierpaolo Basile, Annalina Caputo, Tommaso Caselli, Pierluigi Cassotti, and Rossella Varvara. 2020 · 2020
Later among the works it cites.
Climbing towards NLU: On meaning, form, and understanding in the age of data
Emily M. Bender and Alexander Koller. 2020 · 2020
Later among the works it cites.
What about grammar? Using BERT embeddings to explore functional-semantic shifts of semi-lexical and grammatical constructions
Lauren Fonteyn. 2020 · 2020
Later among the works it cites.
Dataset for temporal analysis of English-French cognates
Esteban Frossard, Mickael Coustaty, Antoine Doucet, Adam Jatowt, and Simon Hengchen. 2020 · 2020
Later among the works it cites.
Analysing lexical semantic change with contextualised word representations
Mario Giulianelli, Marco Del Tredici, and Raquel Fernández. 2020 · 2020
Later among the works it cites.
IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection
Jens Kaiser, Dominik Schlechtweg, Sean Papay, and Sabine Schulte im Walde. 2020 · 2020
Later among the works it cites.
Market language over time. Combining corpus linguistics and historical discourse analysis in a study of market in Swedish press texts
Claes Ohlsson. 2020 · 2020
Later among the works it cites.
Ain’t no way around it: Why we need to be clear about what we mean by “digital humanities”
Michael Piotrowski. 2020 · 2020
Later among the works it cites.
A timely intervention: Tracking the changing meanings of political concepts with word vectors
Emma Rodman. 2020 · 2020
Later among the works it cites.
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, and Nina Tahmasebi. 2020 · 2020
Later among the works it cites.
Simulating Lexical Semantic Change from Sense-Annotated Data
Dominik Schlechtweg and Sabine Schulte im Walde. 2020 · 2020
Later among the works it cites.
Detecting new word meanings: A comparison of word embedding models in spanish
Andrés Torres-Rivera and Juan-Manuel Torres-Moreno. 2020 · 2020
Later among the works it cites.
Sequential modelling of the evolution of word representations for semantic change detection
Adam Tsakalidis and Maria Liakata. 2020 · 2020
Later among the works it cites.
Disappearing discourses: Avoiding anachronisms and teleology with data-driven methods in studying digital newspaper collections
Elaine Zosa, Simon Hengchen, Jani Marjanen, Lidia Pivovarova, and Mikko Tolonen. 2020 · 2020
Later among the works it cites.
Studying Ideational Change in Russian Politics with Topic Models and Word Embeddings
Andrey Indukaev. 2021 · 2021
Closest in time.