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        <title>UWB at SemEval-2026 Task 5: Synsets and their contexts</title>
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        <namePart type="given">Stephen</namePart>
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            <title>Proceedings of the 20th International Workshop on Semantic Evaluation (2026)</title>
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        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Kochmar</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Debanjan</namePart>
            <namePart type="family">Ghosh</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Kai</namePart>
            <namePart type="family">North</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Mamoru</namePart>
            <namePart type="family">Komachi</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <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.</abstract>
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        <url>https://aclanthology.org/2026.semeval-1.106/</url>
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%0 Conference Proceedings
%T UWB at SemEval-2026 Task 5: Synsets and their contexts
%A Taylor, Stephen
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F taylor-2026-uwb
%X 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.
%U https://aclanthology.org/2026.semeval-1.106/
%P 748-754

Markdown (Informal)

[UWB at SemEval-2026 Task 5: Synsets and their contexts](https://aclanthology.org/2026.semeval-1.106/) (Taylor, SemEval 2026)

• UWB at SemEval-2026 Task 5: Synsets and their contexts (Taylor, SemEval 2026)

ACL

• Stephen Taylor. 2026. UWB at SemEval-2026 Task 5: Synsets and their contexts. In Proceedings of the 20th International Workshop on Semantic Evaluation (2026), pages 748–754, San Diego, California, USA. Association for Computational Linguistics.