Distributional Inclusion Hypothesis and Quantifications: Probing Hypernymy in Functional Distributional Semantics
–arXiv.org Artificial Intelligence
Then, we describe how hypernymy can be represented in FDS in 3. In 4, we discuss how Functional Distributional Semantics (FDS; Emerson existential and universal quantifications support or and Copestake, 2016; Emerson, 2018) suggests undermine the Distributional Inclusion Hypothesis that the meaning of a word can be modelled as a (DIH), how FDS can handle both quantifications, truth-conditional function, whose parameters can and how FDS models can learn hypernymy under be learnt using the distributional information in a the DIH, and the reverse of it when equipped with corpus (Emerson, 2020a; Lo et al., 2023).
arXiv.org Artificial Intelligence
Sep-15-2023
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