3 papers
cs.CL2026
Multilingual Embedding Probes Fail to Generalize Across Learner Corpora
Laurits Lyngbaek, Ross Deans Kristensen-McLachlan
Do multilingual embedding models encode a language-general representation of proficiency? We investigate this by training linear and non-linear probes on hidden-state activations f…
cs.CL2026
Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors
Laurits Lyngbaek, Pascale Feldkamp, Yuri Bizzoni +2
Use cases of sentiment analysis in the humanities often require contextualized, continuous scores. Concept Vector Projections (CVP) offer a recent solution: by modeling sentiment a…
cs.CL2025
Continuous sentiment scores for literary and multilingual contexts
Laurits Lyngbaek, Pascale Feldkamp, Yuri Bizzoni +2
Sentiment Analysis is widely used to quantify sentiment in text, but its application to literary texts poses unique challenges due to figurative language, stylistic ambiguity, as w…