Evaluating 14 general-purpose LLMs for extracting eight symptoms of schizophrenia from clinical summaries in a severe mental illness cohort indicates that general-purpose LLMs may not be able to extract psychosis-related phenotypes from clinical summaries with the quality required for clinical use but might nevertheles...
S. Lock, J. Boisson, L. M. Evans et al.· medRxiv· 0 citations
It is found that providing candidate senses, similar to what is done in traditional WSD, improves WiC performance in all settings and helps models make more consistent and targeted judgements.
Yi Zhou, Kiamehr Rezaee, Danushka Bollegala et al.· 0 citations
A data-centric analysis of semantic knowledge acquisition in word embeddings, focusing on word analogy and semantic similarity shows that, for relational semantics, training-data quality outweighs quantity, and that simple proxy models remain a practical, interpretable tool for efficient data selection.
Aishwarya Jadhav, Mark Anderson, J. Camacho-Collados et al.· Neural computing & applicati...· 0 citations
It is found that linguistic proximity itself introduces errors: closely related language pairs tend to perform worse, reflecting the challenge of semantic discrimination due to lexical overlap, and unlike other tasks where language distance poses additional challenges, it is found that linguistic proximity itself intro...
Marta Vázquez Abuín, José Camacho-Collados, Marcos García· Annual Meeting of the Associ...· 0 citations
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