Papers with self-explanatory semantic structure

1 papers
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions (2024.eacl-long)

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Challenge: a fundamental characteristic of natural language definitions is that they are widely abundant, pos-1.
Approach: They propose a multi-relational model that explicitly leverages definitions' semantic structure to derive word embeddings.
Outcome: The proposed model can preserve the semantic mapping required for interpretable traversal while imposing constraints on definitions while maintaining the recursive semantic structure.

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