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

Author

Gurinovich, Roman, Pashuk, Alexander, Petrovskiy, Yuriy, Dmitrievskij, Alex, Kuryan, Oleg, Scerbacov, Alexei, Tiggre, Antonia, Moroz, Elena, and Nikolsky, Yuri

Subjects
Computer Science - Information Retrieval, Computer Science - Computation and Language
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.

Published
2017

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