5 papers
SynFlow: A Multidimensional Diachronic Semantic Analysis Toolkit
Bach Phan-Tat, Kris Heylen, Dirk Geeraerts +2
Lexical semantic change (LSC) is commonly modelled through vector-space representations, but these approaches often provide limited insight into which aspects of usage are changing…
Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection
Bach Phan-Tat, Kris Heylen, Dirk Geeraerts +2
This discussion paper re-examines SemEval-2020 Task 1, the most influential shared benchmark for lexical semantic change detection, through a three-part evaluative framework: opera…
ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics
Bach Phan-Tat, Kris Heylen, Dirk Geeraerts +2
The majority of contemporary computational methods for lexical semantic change (LSC) detection are based on neural embedding distributional representations. Although these models p…
Methods, Data, and Conceptual Change: Reflections from Two Quantitative Diachronic Case Studies
Catherine Wong, Bach Phan-Tat, Susan Fitzmaurice
This discussion paper reflects on how quantitative approaches to historical linguistics interact with dataset properties. Drawing on two worked examples, we examine English data us…
Transparent Semantic Change Detection with Dependency-Based Profiles
Bach Phan-Tat, Kris Heylen, Dirk Geeraerts +2
Most modern computational approaches to lexical semantic change detection (LSC) rely on embedding-based distributional word representations with neural networks. Despite the strong…