@inproceedings{taylor-2026-uwb,
    title = "{UWB} at {S}em{E}val-2026 Task 5: Synsets and their contexts",
    author = "Taylor, Stephen",
    editor = "Kochmar, Ekaterina  and
      Ghosh, Debanjan  and
      North, Kai  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.semeval-1.106/",
    pages = "748--754",
    ISBN = "979-8-89176-414-9",
    abstract = "SemEval 2026 task 5 asks us to provide a pro-gram to try to match the human ratings of sense-appropriateness of a particular word in a seriesof very structured, very short stories.Our system1 associates a fixed list of 50 wordswith each WordNet synset, and computes sev-eral scores for each of the phrases in the story,to determine how closely the phrase matchesthe wordlist.We received near-chance results, in spite ofseveral different approaches to building andemploying sets of word-lists. The stories inthis dataset are designed to be ambiguous, andevery story contains words associated with atleast two senses of the target word. We nowbelieve that our system{'}s approach is inappro-priate for this dataset."
}