Papers with Relation linking

2 papers
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering (2021.acl-short)

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Challenge: Existing knowledge base question answering systems do not leverage the explicit semantic parse of the question text.
Approach: They propose a transformer-based neural model that leverages the AMR semantic parse of a sentence.
Outcome: The proposed model outperforms the state-of-the-art on 4 popular benchmark datasets.
Implicit Relation Linking for Question Answering over Knowledge Graph (2022.findings-acl)

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Challenge: Existing methods rely on textual similarities between NL and KG to build relation links.
Approach: They propose an implicit relation linking method called ImRL which links relation phrases in NL to relation paths in KG.
Outcome: The proposed method significantly outperforms state-of-the-art methods on two benchmarks and a newly-created datasets.

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