Adding Wikipedia context to Hindi NER inputs lifts XLM-R from 0.50 to 0.72 macro F1, but helps MuRIL only slightly and hurts or leaves unchanged all Llama-based systems.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
Enhancing Hindi NER in Low Context: A Comparative study of Transformer-based models with vs. without Retrieval Augmentation
Adding Wikipedia context to Hindi NER inputs lifts XLM-R from 0.50 to 0.72 macro F1, but helps MuRIL only slightly and hurts or leaves unchanged all Llama-based systems.