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The problem of comparing two bodies of text and searching for words that differ in their usage between them arises often in digital humanities and computational social science.
A generalized solution of the orthogonal procrustes problem
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Lea Frermann and Mirella Lapata. 2016 · 2016
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Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
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Hosein Azarbonyad, Mostafa Dehghani, Kaspar Beelen, Alexandra Arkut, Maarten Marx, and Jaap Kamps. 2017 · 2017
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Robert Bamler and Stephan Mandt. 2017 · 2017
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Maja Rudolph, Francisco Ruiz, Susan Athey, and David Blei. 2017 · 2017
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Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, and Hui Xiong. 2018 · 2018
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Lexical semantic change analysis with contextualised word representations
Mario Giullianelli. 2019 · 2019
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SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction
Anna Hätty, Dominik Schlechtweg, and Sabine Schulte im Walde. 2019 · 2019
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Diachronic sense modeling with deep contextualized word embeddings: An ecological view
Renfen Hu, Shen Li, and Shichen Liang. 2019 · 2019
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Leveraging contextual embeddings for detecting diachronic semantic shift
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A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
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Et́ude des variations sémantiques à travers plusieurs dimensions
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Short-Term Meaning Shift: A Distributional Exploration
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