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- W2972801821 abstract "Three broad approaches have been attempted to combine distributional and structural/symbolic aspects to construct meaning representations: a) injecting linguistic features into distributional representations, b) injecting distributional features into symbolic representations or c) combining structural and distributional features in the final representation. This work focuses on an example of the third and less studied approach: it extends the Graphical Knowledge Representation (GKR) to include distributional features and proposes a division of semantic labour between the distributional and structural/symbolic features. We propose two extensions of GKR that clearly show this division and empirically test one of the proposals on an NLI dataset with hard compositional pairs." @default.
- W2972801821 created "2019-09-19" @default.
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- W2972801821 date "2019-01-01" @default.
- W2972801821 modified "2023-10-16" @default.
- W2972801821 title "GKR: Bridging the Gap between Symbolic/structural and Distributional Meaning Representations" @default.
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- W2972801821 doi "https://doi.org/10.18653/v1/w19-3305" @default.
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