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BioTriplex: Un corpus anotado de texto completo para ajustar modelos de lenguaje en tareas de extracción de

Charlotte Collins^1,2, Panagiotis Fytas¹, İlknur Karadeniz^1,3

¹Language Technology Laboratory, Theoretical and Applied Linguistics, Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge, Cambridge, CB3 9DA, United Kingdom.

Bioinformatics (Oxford, England)

|January 21, 2026

Resumen

Creamos BioTriplex, un nuevo conjunto de datos para entrenar modelos de IA en relaciones gen-enfermedad. Los modelos de IA ajustados con BioTriplex muestran una mayor precisión en la extracción de conexiones gen-enfermedad complejas de textos biomédicos.

Palabras clave:

corpus extracción de relaciones gen-enfermedad modelos de lenguaje procesamiento del lenguaje natural biomedicina aprendizaje automático ajuste fino

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