natural-language-processing-2
Hypernym Discovery
3260 papers • 126 benchmarks • 313 datasets
Given a corpus and a target term (hyponym), the task of hypernym discovery consists of extracting a set of its most appropriate hypernyms from the corpus. For example, for the input word “dog”, some valid hypernyms would be “canine”, “mammal” or “animal”.
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Most implemented papers
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
O. Ganea, Thomas Hofmann, Gary Bécigneul•Mon Apr 02 2018
This work presents a novel method to embed directed acyclic graphs through hierarchical relations as partial orders defined using a family of nested geodesically convex cones and proves that these entailment cones admit an optimal shape with a closed form expression both in the Euclidean and hyperbolic spaces.
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