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LRL_IE
PublicThis project studies how large language models perform information extraction in low resource languages, focusing on tasks like named entity recognition. It explores different prompting methods to find which approaches help the models understand low resource languages more effectively.semeval2026-task13
Publicclulab.github.io
Publicgentlenlp
PublicSoftware introduced in the Deep Learning for NLP: A Gentle Introduction booknlp-reading-group
Publicprocessors
Publicnormit
Publicnlp.arizona.edu
Publicllm-robustness
Publicfine-tune-vs-few-shot
Publiclives
PublicPython code for the analysis and creation of machine-learned models for the NIH-funded project "Using natural language processing to determine predictors of healthy diet and physical activity behavior change in ovarian cancer survivors."processors-model
Publicscala-transformers
Publichabitus
Publicreach
Publictimenorm
Publicgrid
Publicanafora-annotations
Publicicaart24-argumentation
Publicreleases
Publicsemeval2024-task4
Publicsbt-resource.g8
Publicsemeval2024-task8
Publicsemeval2024-task6
Publiceidos
Publichw1-scala-main
Publicpdf2txt
Publicnumeval-2024
Publicconceptnorm
Public