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Measuring the relative importance of full text sections for information retrieval from scientific literature.
In this work we establish the connection between the BM25 score of a query term appearing in a section of a full text document and the probability of that document being clicked or identified as relevant.
MeSH-based dataset for measuring the relevance of text retrieval
Creating simulated search environments has been of a significant interest in infor-mation retrieval, in both general and bio-medical search domains.
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