Data augmentation using llms: Data perspectives, learning paradigms and challenges

B Ding, C Qin, R Zhao, T Luo, X Li… - Findings of the …, 2024 - aclanthology.org
In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …

[PDF][PDF] Overview of IberLEF 2023: Natural Language Processing Challenges for Spanish and other Iberian Languages

SM Jiménez-Zafra, F Rangel, MM Gómez - Proceedings of the Iberian …, 2023 - ceur-ws.org
IberLEF is a shared evaluation campaign of Natural Language Processing systems in
Spanish and other Iberian languages that has been organized since 2019, and is held as …

Overview of TESTLINK at IberLEF 2023: Linking Results to Clinical Laboratory Tests and Measurements

B Altuna, R Agerri, L Salas-Espejo, JJ Saiz… - … del Lenguaje Natural, 2023 - journal.sepln.org
The TESTLINK task conducted at IberLEF2023 focuses on relation extraction from clinical
cases in Spanish and Basque. The task consists in identifying clinical results and measures …

Get the Best out of 1B LLMs: Insights from Information Extraction on Clinical Documents

S Farzi, S Ghosh, A Lavelli… - Proceedings of the 23rd …, 2024 - aclanthology.org
While the popularity of large, versatile language models like ChatGPT continues to rise, the
landscape shifts when considering open-source models tailored to specific domains …

Resumen de TESTLINK en IberLEF 2023: Creación de relaciones entre análisis de laboratorio y mediciones clínicas y sus resultados

R Zanoli, G Karunakaran… - Procesamiento …, 2023 - ekoizpen-zientifikoa.ehu.eus
La tarea TESTLINK de IberLEF2023 se centra en la extracción de relaciones de casos
clínicos en español y euskera. La tarea consiste en identificar resultados y medidas clínicas …