metadata
task_categories:
- question-answering
language:
- et
size_categories:
- 10M<n<100M
configs:
- config_name: default
data_files:
- split: queries
path: queries/*
- config_name: corpus
data_files:
- split: corpus
path: corpus/*
- config_name: queries
data_files:
- split: queries
path: queries/*
- config_name: qrels
data_files:
- split: qrels
path: qrels/*
license:
- unknown
BibTeX entry and citation info
@misc{dorkin2024glilemleveragingglinercontextualized,
title={GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian},
author={Aleksei Dorkin and Kairit Sirts},
year={2024},
eprint={2412.20597},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2412.20597},
}