region:us
The CoarseWSD-20 dataset is a coarse-grained sense disambiguation built from Wikipedia 
(nouns only) targetting 2 to 5 senses of 20 ambiguous words. It was specifically designed 
to provide an ideal setting for evaluating WSD models (e.g. no senses in test sets missing 
from training), both quantitavely and qualitatively.
@misc{loureiro2021analysis,
      title={Analysis and Evaluation of Language Models for Word Sense Disambiguation}, 
      author={Daniel Loureiro and Kiamehr Rezaee and Mohammad Taher Pilehvar and Jose Camacho-Collados},
      year={2021},
      eprint={2008.11608},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
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