%0 Conference Proceedings %T Don’t Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation %A Loureiro, Daniel %A Camacho-Collados, Jose %Y Webber, Bonnie %Y Cohn, Trevor %Y He, Yulan %Y Liu, Yang %S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) %D 2020 %8 November %I Association for Computational Linguistics %C Online %F loureiro-camacho-collados-2020-dont %X State-of-the-art methods for Word Sense Disambiguation (WSD) combine two different features: the power of pre-trained language models and a propagation method to extend the coverage of such models. This propagation is needed as current sense-annotated corpora lack coverage of many instances in the underlying sense inventory (usually WordNet). At the same time, unambiguous words make for a large portion of all words in WordNet, while being poorly covered in existing sense-annotated corpora. In this paper, we propose a simple method to provide annotations for most unambiguous words in a large corpus. We introduce the UWA (Unambiguous Word Annotations) dataset and show how a state-of-the-art propagation-based model can use it to extend the coverage and quality of its word sense embeddings by a significant margin, improving on its original results on WSD. %R 10.18653/v1/2020.emnlp-main.283 %U https://aclanthology.org/2020.emnlp-main.283 %U https://doi.org/10.18653/v1/2020.emnlp-main.283 %P 3514-3520