Papers by Laetitia Papaxanthos

1 papers
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings (P19-1)

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Challenge: Using hyperbolic embeddings, we can infer concept hierarchies from distributional contexts while also being able to predict missing “is-a”-relationships and correct wrong extractions.
Approach: They propose a method combining hyperbolic embeddings and Hearst patterns to set appropriate constraints for inferring “is-a” relationships from large text corpora and improve taxonomic consistency.
Outcome: The proposed method achieves state-of-the-art performance on a variety of hypernymy benchmarks.

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