Papers with WordNet link prediction

1 papers
Predicting Semantic Relations using Global Graph Properties (D18-1)

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Challenge: Semantic graphs encode the structural qualities of language as a representation of human knowledge.
Approach: They propose a global-theoretic model that integrates global and local properties of semantic graphs to improve local prediction of relational relations between synsets.
Outcome: The proposed model improves on the local task of predicting semantic relations between synsets, yielding state-of-the-art results on the WN18RR dataset.

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