Computational methods for Lexical Semantic Change Detection


The course Computational methods for Lexical Semantic Change Detection will be offered at the Lectures on Computational Linguistics 2024 of the Italian Association of Computational Linguistics (AILC). It is scheduled to take place in Bari, Italy, from June 19th to June 21th.

Jun 19, 2024 9:00 AM — Jun 21, 2024 5:30 PM
University of Bari - Bari, Italy

This lecture will introduce computational modeling of semantic change (also called lexical semantic change), a phenomenon associated with the diachronic change of the meaning of words. Semantic change can be subtle while still having a large impact on interpretation of text. For example, not knowing that the English word girl referred to young people of either gender in a specific text changes the way in which we interpret the content. This lecture will provide an overview of the problem of semantic change and its consequences; introduction to computational current approaches, problems, and challenges in detecting lexical semantic changes; and finally, evaluation of the results.

The laboratory will provide a foundational overview of Distributional Semantics, highlighting the significance of static embeddings and BERT-based models in understanding the lexical semantic change. It will encompass both unsupervised approaches, such as similarity measures and clustering algorithms, and supervised approaches that utilize temporal information. Additionally, the laboratory will include hands-on session on Lexical Semantic Change (LSC) models, Diachronic Word Usage Graphs (DWUGs), and evaluations strategies. The discussion will extend to models based on Word Sense Disambiguation and generative models, offering a comprehensive understanding of the current methodologies and their applications in detecting and analyzing semantic change.