Selected talks and presentations, including (i) invited presentations at NLP and semantic change research groups, (ii) conference presentations at ACL, LChange workshops, ICWSM, SASP-ACPID, the Mental Health PhD Program conference, and (iii) program talks showcasing my computational framework for tracing historical lexical semantic change in mental health concepts.
Paper presented at ICWSM 2026 in the Toxic Counterpublics session. The study introduces a theory-informed, multidimensional computational analysis of gendered dehumanization in incel discourse, comparing women- and men-associated terms across negative evaluation, moral disgust, animalistic framing, mind denial, and agency denial.
May 27, 2026
A sense-tracking study presented at LChange'26 Workshop (EACL) introducing a threshold-calibrated, prototype-based pipeline for tracking word sense prevalence in historical U.S. news articles.
Mar 28, 2026
Presented my work (drawing on findings from 3 PhD studies) on modelling semantic change in mental health-related concepts. Event: Mental Health PhD Program Conference (University of Melbourne)
Oct 3, 2025
An invited talk at the National Research Council Canada on SIBling and LSC-Eval as complementary frameworks for modeling and evaluating semantic change across time.
Sep 24, 2025
Talk at Utrecht University's Natural Language and Text Processing Lab on two complementary frameworks for studying lexical semantic change: (1) SIBling, which models change along three dimensions (Sentiment, Intensity, Breadth); and (2) LSC-Eval, which generates synthetic benchmarks for evaluating methods. Together, they provide tools for tracing socially significant conceptual shifts, with applications to mental health concepts.
Sep 16, 2025
A research talk at Change is Key! Conference (University of Gothenburg, Dept. of Philosophy, Linguistics & Theory of Science) on applying SIBling and LSC-Eval to trace semantic shifts in mental health concepts in historical corpora.
Sep 12, 2025
Poster presented at ACL 2025. An evaluation framework that generates historical synthetic benchmark datasets for testing whether semantic change methods are sensitive to detecting the kinds of change they claim to measure.
Jul 28, 2025
Poster presented at IC2S2 2025. The paper proposes SIBling, a three-dimensional computational linguistic framework for evaluating lexical semantic change across Sentiment, Intensity, and Breadth, illustrated through an analysis of how 'mental health' and 'mental illness' have shifted in meaning across two corpora.
Jul 2, 2025
The foundational SIBling presentation, introducing a multidimensional framework for modeling lexical semantic change across Sentiment, Intensity, and Breadth.
Aug 14, 2024
Presented on the 'Semantic Shifts in Mental Health-Related Concepts' at The 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange'23), collocated with the EMNLP-2023 conference (Sentosa, Singapore).
Dec 6, 2023