Papers with multi-relational model

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

Copied to clipboard

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.
Improving Entity Linking by Modeling Latent Relations between Mentions (P18-1)

Copied to clipboard

Challenge: Entity linking systems often exploit relations between textual mentions to decide if the linking decisions are compatible.
Approach: They treat relations as latent variables while optimizing the neural entity-linking model without supervision.
Outcome: The proposed model outperforms its relation-agnostic version and significantly outperformed its relational version.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations