Title: Layout logical labelling and finding the semantic relationships between citing and cited paper content
Authors: Sergey Parinov; Amir Bakarov; Daniil Vodolazcky
Addresses: Central Economics and Mathematics Institute of RAS, Nakhimovsky pr. 47, Moscow 117418, Russia; Russian Presidential Academy of National Economy and Public Administration, Prospect Vernadskogo 84/9, Moscow 119571, Russia ' National Research University Higher School of Economics, Myasnitskaya Ulitsa, 20, Moscow 101000, Russia ' Novosibirsk State University, Ulitsa Pirogova, 1, Novosibirsk, 630090, Russia
Abstract: Currently, large data sets of in-text citations and citation contexts are becoming available for research and developing tools. Using the "topic model" method to analyse these data, one can characterise thematic relationships between citation contexts from citing and the cited paper content. However, to build relevant topic models and to compare them accurately for papers linked by citation relationships we have to know the semantic labels of PDF papers' layout such as section titles, paragraph boundaries, etc. Recent achievements in papers' conversion from a PDF form into a rich attributed JSON format allow us to develop new approaches for the logical labelling of the papers' layout. This paper presents a re-usable method and open source software for the logical labelling of PDF papers, which gave good quality of a layout element's recognition for a set of research papers. Using these semantic labels we made a precise comparison of topic models built for citing and cited papers and we found some level of similarity between them.
Keywords: Cirtec project; in-text citation; citation contexts; research paper layout recognition; logical labelling; hierarchical topic models.
International Journal of Metadata, Semantics and Ontologies, 2020 Vol.14 No.1, pp.54 - 62
Received: 26 Aug 2019
Accepted: 27 Jan 2020
Published online: 16 Jun 2020 *