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arXiv · 1705.08321

Increasing Papers' Discoverability with Precise Semantic Labeling: the sci.AI Platform

Roman Gurinovich·Alexander Pashuk·Yuriy Petrovskiy·Alex Dmitrievskij·Oleg Kuryan·Alexei Scerbacov·Antonia Tiggre·Elena Moroz·Yuri Nikolsky
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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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Roman Gurinovich, Alexander Pashuk, Yuriy Petrovskiy, Alex Dmitrievskij, Oleg Kuryan, Alexei Scerbacov, Antonia Tiggre, Elena Moroz, Yuri Nikolsky. 2017-05-02. Increasing Papers' Discoverability with Precise Semantic Labeling: the sci.AI Platform. https://arxiv.org/abs/1705.08321

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