Papers with modelling lexical and sentence-level semantics

    1 papers
    Functional Distributional Semantics at Scale (2023.starsem-1)

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    Challenge: Functional Distributional Semantics is a linguistically motivated framework for modelling lexical and sentence-level semantics with truth-conditional functions using distributional information.
    Approach: They propose a more expressive lexical model that works over a continuous semantic space.
    Outcome: The proposed model improves performance and flexibility and is compatible with present-day machine learning frameworks.

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