Papers by Nicolò Tamagnone

    1 papers
    Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models (2020.emnlp-main)

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    Challenge: Embedding-based models are increasingly needed for domain-specific evaluation datasets.
    Approach: They propose a protocol for the construction of a relatedness-based evaluation dataset based on adaptive pairwise comparisons and appropriate metrics to evaluate a semantic model via the aforementioned dataset.
    Outcome: The proposed protocol is particularly accurate in top-rank evaluation.

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