Papers by Alexander Iyabor

    1 papers
    Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality (2021.naacl-main)

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    Challenge: Existing benchmarks for lexical substitution depend on human recall as the only source of data, authors say . existing benchmarks lack coverage of the appropriate substitutes that would be most helpful to humans .
    Approach: They propose a benchmark for lexical substitution to find appropriate substitutes for a target word in context . existing benchmarks depend on human recall as the only source of data, they argue .
    Outcome: The new benchmark for lexical substitution uses a context-free thesaurus . it has 3x as many substitutes per target word for the same quality, and substitutes are 1.4x more appropriate .

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