text: Over 50 million scholarly articles have been published: they constitute a unique repository of knowledge. In particular, one may infer from them relations between scientific concepts, such as synonyms and hyponyms. Artificial neural networks have been recently explored for relation extraction. In this work, we continue this line of work and present a system based on a convolutional neural network to extract relations. Our model ranked first in the SemEval-2017 task 10 (ScienceIE) for relation extraction in scientific articles (subtask C).
  @cite_24: The growth rate of scientific publication has been studied from 1907 to 2007 using available data from a number of literature databases, including Science Citation Index (SCI) and Social Sciences Citation Index (SSCI). Traditional scientific publishing, that is publication in peer-reviewed journals, is still increasing although there are big differences between fields. There are no indications that the growth rate has decreased in the last 50 years. At the same time publication using new channels, for example conference proceedings, open archives and home pages, is growing fast. The growth rate for SCI up to 2007 is smaller than for comparable databases. This means that SCI was covering a decreasing part of the traditional scientific literature. There are also clear indications that the coverage by SCI is especially low in some of the scientific areas with the highest growth rate, including computer science and engineering sciences. The role of conference proceedings, open access archives and publications published on the net is increasing, especially in scientific fields with high growth rates, but this has only partially been reflected in the databases. The new publication channels challenge the use of the big databases in measurements of scientific productivity or output and of the growth rate of science. Because of the declining coverage and this challenge it is problematic that SCI has been used and is used as the dominant source for science indicators based on publication and citation numbers. The limited data available for social sciences show that the growth rate in SSCI was remarkably low and indicate that the coverage by SSCI was declining over time. National Science Indicators from Thomson Reuters is based solely on SCI, SSCI and Arts and Humanities Citation Index (AHCI). Therefore the declining coverage of the citation databases problematizes the use of this source.
  @cite_37: How many scholarly research articles are there in existence? Journal articles first appeared in 1665, and the cumulative total is estimated here to have passed 50 million in 2009. This sum was arrived at based on published figures for global annual output for 2006, and analyses of annual output and growth rates published in the last decade.
  @cite_26: L'article examine les tendances des articles indexes dans MEDLINE au niveau du volume, des auteurs, du contenu et du financement, entre 1978 et 2001. Cette periode se caracterise par une forte croissance dans la litterature, notamment en ce qui concerne les essais randomises et d'autres sources d'information potentiellement utiles pour guider la pratique medicale factuelle. On note egalement une decentralisation de l'information avec un plus grand nombre d'auteurs par article, et le passage du financement public au financement prive. Cette etude met en valeur a la fois des defis et des opportunites pour la medecine factuelle.
summary: The number of articles published every year keeps increasing @cite_26 @cite_24 and well over 50 million scholarly articles have been published so far @cite_37 . While this repository of human knowledge contains invaluable information, it has become increasingly difficult to take advantage of all available information due to its sheer amount.