There are several possible reasons why this dataset may be more difficult for an embedding-based solver.
as K increases, ELMo clusters outperform the baseline, 8 https://github.com/attardi/ wikiextractor 9 https://spacy.io reaching its maximum performance at K = 5, indicating that a finer level of sense granularity is beneficial for focusing on the intended word sense.