Beyond Reachability: A Relation-Semantic Reasoning Framework for Biomedical Multi-hop QA
Biomedical multi-hop reasoning over knowledge graphs requires identifying a semantically valid relation sequence that supports the answer.
ProofPaper ↗
Key points
- Even when a correct answer is retrieved, its associated evidence and reasoning path may fail to support the relation composition required by the question.
- We term this disconnect between answer reachability and evidential validity the reachable-but-invalid problem.
- We present ReSemReason, which shares a question-induced distribution over typed, directed relation schemas between candidate discovery and evidence selection.
- Schema compatibility guides graph search; ReSemAttn then uses relation-conditioned key/value projections and an uncertainty-weighted path prior to attend to candidate-specific evidence.
Sources (1)
- [1]Beyond Reachability: A Relation-Semantic Reasoning Framework for Biomedical Multi-hop QAarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 14, 08:09 AM
Biomedical multi-hop reasoning over knowledge graphs requires identifying a semantically valid relation sequence that supports the answer.
Even when a correct answer is retrieved, its associated evidence and reasoning path may fail to support the relation composition required by the question.
Extractive summary: sentences quoted from the sources.
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