AI RESEARCH
Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
arXiv CS.AI
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ArXi:2603.21193v1 Announce Type: cross Extracting hypotheses and their ing statistical evidence from full-text scientific articles is central to the synthesis of empirical findings, but remains difficult due to document length and the distribution of scientific arguments across sections of the paper. The work studies a sequential full-text extraction setting, where the statement of a primary finding in an article's abstract is linked to (i) a corresponding hypothesis statement in the paper body and (ii) the statistical evidence that s or refutes that hypothesis.