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Article

Hypothesis-Driven Semantic Retrieval for Discovering Unseen Knowledge Structures

2025-12-03

Abstract excerpt

This work proposes a hypothesis-driven retrieval paradigm for discovering unseen knowledge schemata from text corpora without supervision. The framework generates hypothetical semantic signals derived from linguistic regularities and validates them through evidence retrieval across the corpus. A signal verification module filters inconsistent hypotheses, while a semantic clustering component consolidates validated...

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Literature Corpus work
d69f5e18-c337-5291-9782-5ad022fb8836
DOI
10.20944/preprints202512.0301.v1
Open publication

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Semantic proximity does not establish scientific evidence.

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Hypothesis-Driven Semantic Retrieval for Discovering Unseen Knowledge StructuresDOI 10.20944/preprints202512.0301.v1
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