text: 179,192,1255832795341115393,319518346,Jose Camacho-Collados,"Are unambiguous words useful for Word Sense Disambiguation? Surprisingly yes! Check out our latest work with @danielbloureiro to find out why and how.  Paper 👉 <LINK> (Note: for full transparency, we've also made our #acl2020nlp reviews available) #NLProc 1/2 <LINK> Bonus: we freely release UWA, a large sense-annotated corpus based on OpenWebText and Wikipedia with unambiguous word annotations. Sense embeddings (based on this corpus and Semcor) to perform state-of-the-art WSD are also available for download. 2/2 <LINK>",https://arxiv.org/abs/2004.14325,"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. ","Don't Neglect the Obvious: On the Role of Unambiguous Words in Word