4 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…
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…