Distributional Inclusion Hypothesis and Quantifications: Probing Hypernymy in Functional Distributional Semantics

Lo, Chun Hei, Emerson, Guy

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).

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