3 papers
cs.CL2026
Contrastive Learning with Narrative Twins for Modeling Story Salience
Igor Sterner, Alex Lascarides, Frank Keller
Understanding narratives requires identifying which events are most salient for a story's progression. We present a contrastive learning framework for modeling narrative salience t…
cs.CL2025
Code-Switching and Syntax: A Large-Scale Experiment
Igor Sterner, Simone Teufel
The theoretical code-switching (CS) literature provides numerous pointwise investigations that aim to explain patterns in CS, i.e. why bilinguals switch language in certain positio…
cs.CL2025
Minimal Pair-Based Evaluation of Code-Switching
Igor Sterner, Simone Teufel
There is a lack of an evaluation methodology that estimates the extent to which large language models (LLMs) use code-switching (CS) in the same way as bilinguals. Existing methods…