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.
@article{arxiv.1705.08321,
title = {Increasing Papers' Discoverability with Precise Semantic Labeling: the sci.AI Platform},
author = {Roman Gurinovich and Alexander Pashuk and Yuriy Petrovskiy and Alex Dmitrievskij and Oleg Kuryan and Alexei Scerbacov and Antonia Tiggre and Elena Moroz and Yuri Nikolsky},
journal= {arXiv preprint arXiv:1705.08321},
year = {2017}
}