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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