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[InetBib] 2nd CfP: Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics @ISSI2015
- Date: Mon, 20 Apr 2015 15:10:22 +0000
- From: "Mayr-Schlegel, Philipp" <Philipp.Mayr-Schlegel@xxxxxxxxx>
- Subject: [InetBib] 2nd CfP: Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics @ISSI2015
== Second Call for Papers ==
You are invited to participate in the upcoming workshop on Mining Scientific
Papers: Computational Linguistics and Bibliometrics, to be held as part of thed
15th International Society of Scientometrics and Informetrics Conference
(ISSI-2015, http://www.issi2015.org).
http://www.gesis.org/en/events/conferences/issi-workshop-2015/
=== Important Dates ===
- Submission deadline (extended): 03 May 2015
- Notification of acceptance/rejection: 20 May 2015
- Camera-ready papers: 15 June 2015
- Workshop: 29 June 2015, Istanbul, Turkey
=== Scope and Aim of the Workshop ===
The open access movement in scientific publishing and search engines like
Google Scholar have made scientific articles more broadly accessible. During
the last decade, the availability of scientific papers in full text has become
more and more widespread thanks to the growing number of publications on online
platforms such as ArXiv and CiteSeer. The efforts to provide articles in
machine-readable formats and the rise of Open Access publishing have resulted
in a number of standardized formats for scientific papers (such as NLM-JATS,
TEI, DocBook), full-text datasets for research experiments (PubMed, JSTOR,
etc.) and corpora (iSearch, etc.). At the same time, research in the field of
Natural Language Processing have provided a number of open source tools for
versatile text processing (e.g. NLTK, Mallet, OpenNLP, CoreNLP, Gate,
CiteSpace).
Scientific papers are highly structured texts and display specific properties
related to their references but also argumentative and rhetorical structure.
Recent research in this field has concentrated on the construction of
ontologies for citations and scientific articles (e.g. CiTO, LinkedScience1)
and studies of the distribution of references . However, up to now full-text
mining efforts are rarely used to provide data for bibliometric analyses. While
bibliometrics traditionally relies on the analysis of metadata of scientific
papers (see e.g. a recent special issue on Combining Bibliometrics and
Information Retrieval, Mayr & Scharnhorst, 2015), we will explore the ways
full-text processing of scientific papers and linguistic analyses can play.
With this workshop we like to discuss novel approaches and provide insights
into scientific writing that can bring new perspectives to understand both the
nature of citations and the nature of scientific articles. The possibility to
enrich metadata by the full-text processing of papers offers new fields of
application to bibliometrics studies.
Working with full text allows us to go beyond metadata used in bibliometrics.
Full text offers a new field of investigation, where the major problems arise
around the organization and structure of text, the extraction of information
and its representation on the level of metadata. Furthermore, the study of
contexts around in-text citations offers new perspectives related to the
semantic dimension of citations. The analyses of citation contexts and the
semantic categorization of publications will allow us to rethink co-citation
networks, bibliographic coupling and other bibliometric techniques.
The workshop aims to bring together researchers in bibliometrics and
computational linguistics in order to study the ways bibliometrics can benefit
from large-scale text analytics and sense mining of scientific papers, thus
exploring the interdisciplinarity of Bibliometrics and Natural Language
Processing. How can we enhance author network analysis and bibliometrics using
data obtained by text analytics? What insights can NLP provide on the structure
of scientific writing, on citation networks, and on in-text citation analysis?
=== Workshop Topics ===
Topics include (but are not limited to) the following:
- Linguistic modeling and discourse analysis for scientific texts
- User interfaces, text representations and visualizations
- Structure of scientific articles (discourse / argumentative / rhetorical /
social)
- Scientific corpora and paper standards
- Act of citations, in-text citations and Content Citation Analysis
- Co-citation and bibliographic coupling
- Text enhanced bibliographic coupling
- Terminology extraction
- Text mining and information extraction
- Scientific information retrieval
- Ontological descriptions of scientific content
- Knowledge extraction
The workshop will involve research project reports, system demonstrations and a
panel discussion on the perspectives for the development of new text analytics
approaches for bibliometrics.
=== Submission Details ===
All submissions must be written in English following ISSI 2015 Template for
Research in Progress Paper Manuscripts (up to 6 pages) and should be submitted
as PDF files to EasyChair. All submissions will be reviewed by at least two
independent reviewers. Please be aware of the fact that at least one author per
paper needs to register for the workshop and attend the workshop to present the
work.
ISSI 2015 Template for Research in Progress Paper Manuscripts:
http://www.issi2015.org/files/downloads/ISSI2015_template_for_papers.docx
EasyChair: https://easychair.org/conferences/?conf=clbib2015
Workshop proceedings will be deposited online in the CEUR workshop proceedings
publication service (ISSN 1613-0073) - This way the proceedings will be
permanently available and citable (digital persistent identifiers and long term
preservation).
=== Organizers ===
Iana Atanassova, Centre Tesnière, Université de Franche-Comté, France
Marc Bertin, Department of Sociology and Anthropology, Concordia University,
Canada
Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany
=== Programm Committee tbc ===
Lee Giles (College of Information Sciences and Technology, Pennsylvania State
University, USA)
Yves Gingras (CIRST, Université du Québec à Montréal, Canada)
Vincent Lariviere (EBSI, Universite de Montreal, Canada)
Stefanie Haustein (EBSI, Universite de Montreal, Canada)
Timothy Bowman (EBSI, Universite de Montreal, Canada)
Izabella Thomas (Centre Tesniere, Universite de Franche-Comte, France)
Sylviane Cardey (Centre Tesniere, Université de Franche-Comte, France)
Beatrice Milard (Université de Toulouse 2, France)
Ruslan Mitkov (University of Wolverhampton, England)
Hitoshi Isahara (Toyohashi University of Technology, Japan)
Tomi Kauppinen (Aalto University, Finland)
Roman Kern (Know-Center, Austria)
Angelo Di Iorio (Department of Computer Science and Engineering, University of
Bologna, Italy)
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Dr. Philipp Mayr
Team Leader
GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8, D-50667 Köln, Germany
Tel: + 49 (0) 221 / 476 94 -533
Email: philipp.mayr@xxxxxxxxx<mailto:philipp.mayr@xxxxxxxxx>
Web: http://www.gesis.org<http://www.gesis.org/>
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