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Increasing Papers' Discoverability with Precise Semantic Labeling: the sci.AI Platform
May 02, 2017 Β· Declared Dead Β· π International Conference on Electronic Publishing
"No code URL or promise found in abstract"
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Authors
Roman Gurinovich, Alexander Pashuk, Yuriy Petrovskiy, Alex Dmitrievskij, Oleg Kuryan, Alexei Scerbacov, Antonia Tiggre, Elena Moroz, Yuri Nikolsky
arXiv ID
1705.08321
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
0
Venue
International Conference on Electronic Publishing
Last Checked
4 months ago
Abstract
The number of published findings in biomedicine increases continually. At the same time, specifics of the domain's terminology complicates the task of relevant publications retrieval. In the current research, we investigate influence of terms' variability and ambiguity on a paper's likelihood of being retrieved. We obtained statistics that demonstrate significance of the issue and its challenges, followed by presenting the sci.AI platform, which allows precise terms labeling as a resolution.
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