A terminological "journey" in the Grey Literature domain

Please cite as: Bartolini R., Pardelli G., Goggi S., Giannini S., Biagioni S. A terminological "journey" in the Grey Literature domain. In: GL18 - Eighteenth International Conference on Grey Literature: Leveraging Diversity in Grey Literature. (New York, USA, 28-29 November 2016). Proceedings, pp. 117-130. Dominic Farace, Jerry Frantzen (eds.). (GL-Conference series. ISSN: 1385-2308, vol. 18). TextRelease, Amsterdam, The Netherlands, 2017.

The work analyzes a corpus constituted of the entire amount of full research papers published in the GL conference series over a time-span of more than one decade (2003-2014) with the aim of creating a terminological map of relevant words in the various GL research topics. The corpus - made up of 231 research papers was processed using a Natural Language Processing (NLP) tool for term extraction . This tool is what is called a “pipeline” - that is, a sequence of different tools - which extracts lexical knowledge from texts: in short, this is a rule-based system tool for knowledge extraction and document indexing that combines Natural Language Processing (NLP) technologies for term extraction. Within our corpus made of GL articles, this NLP tool extracts a list of single (monograms) and multi-word terms (bigrams and trigrams) ordered by frequency with respect to the context.

Identifier
DOI https://doi.org/10.17026/dans-z2n-8et3
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-5cnk-f0
Related Identifier http://puma.isti.cnr.it/linkdoc.php?idauth=1&idcol=1&icode=2016-A6-003&authority=cnr.isti&collection=cnr.isti&langver=it
Related Identifier https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:51624
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:68736
Provenance
Creator Giannini, SG
Publisher Data Archiving and Networked Services (DANS)
Contributor Bartolini, RB; Pardelli, GP; Goggi, SG; Biagioni, SB; Bartolini R.; Pardelli G.; Goggi S.; Giannini S.; Biagioni S.
Publication Year 2017
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format Microsoft Excel; Comma Separated Values - csv
Discipline Humanities; Linguistics