[InetBib] 2nd CFP: BIRNDL’17: Bibliometric-enhanced IR and NLP for Digital Libraries workshop @SIGIR 2017

["Mayr-Schlegel, Philipp via InetBib" <inetbib@xxxxxxxxxx>]

== Call for Papers ==
You are invited to participate in the 2nd Joint Workshop on 
Bibliometric-enhanced IR and NLP for Digital Libraries (BIRNDL), to be held as 
part of 40th International ACM SIGIR Conference on Research and Development in 
Information Retrieval (SIGIR 2017) in Tokyo, Japan on 11th August 2017.
<http://wing.comp.nus.edu.sg/birndl-sigir2017/>
We are happy to announce that the past BIR and NLPIR4DL organizers are 
proposing this workshop at SIGIR together. In conjunction with the BIRNDL 
workshop, we will hold the 3rd CL-SciSumm Shared Task in Scientific Document 
Summarization.
See <http://wing.comp.nus.edu.sg/cl-scisumm2017/> for a separate cfp.
Reports from the shared task systems will be featured as part of a session at 
the workshop.

=== Important Dates ===
- Submissions deadline: May 23, 2017
- Notification: June 23, 2017
- Camera Ready Contributions: TBD
- Workshop: August 11, 2017 in Tokyo, Japan
=== Aim of the Workshop ===
The BIRNDL workshop is the first step to foster a reflection on 
interdisciplinarity, and the benefits that the disciplines bibliometrics, IR 
and NLP can derive from it in a digital libraries context. The workshop is 
intended to stimulate IR researchers and digital library professionals to 
elaborate on new approaches in natural language processing, information 
retrieval, scientometrics, text mining and recommendation techniques that can 
advance the state-of-the-art in scholarly document understanding, analysis, and 
retrieval at scale. Researchers are in need of assistive technologies to track 
developments in an area, identify the approaches used to solve a research 
problem over time and summarize research trends. Digital libraries require 
semantic search, question-answering and automated recommendation and reviewing 
systems to manage and retrieve answers from scholarly databases. Full document 
text analysis can help to design semantic search, translation and summarization 
systems; citation and social network analyses can help digital libraries to 
visualize scientific trends, bibliometrics and relationships and influences of 
works and authors. All these approaches can be supplemented with the metadata 
supplied by digital libraries, inclusive of usage data, such as download counts.

We invite papers and presentations that incorporate insights from IR, 
bibliometrics and NLP to develop new techniques to address the open problems in 
Big Science, such as evidence-based searching, measurement of research quality, 
relevance and impact, the emergence and decline of research problems, 
identification of scholarly relationships and influences and applied problems 
such as language translation, question-answering and summarization. Finding 
relevant scholarly literature is key point of the workshop and sets the agenda 
for tools and approaches to be discussed and evaluated at BIRNDL. At the 
workshop, we would also like to address the need for established, standardized 
baselines, evaluation metrics and test collections.

See the proceedings of the first BIRNDL workshop at JCDL 2016 
<http://ceur-ws.org/Vol-1610/> and a recent report in SIGIR Forum 
<http://sigir.org/wp-content/uploads/2017/01/p036.pdf>.

This workshop will be relevant to scholars in computer and information science, 
specialized in IR, bibliometrics and NLP. The Shared Task is expected to be of 
interest to a broad community including those working in CL and NLP, especially 
in the sub-disciplines of text summarization, discourse structure in scholarly 
discourse, paraphrase, textual entailment and text simplification. The workshop 
will also be of importance for all stakeholders in the publication pipeline: 
implementers, publishers and policymakers. Formal citation metrics are 
increasingly a factor in decision-making by universities and funding bodies 
worldwide, making the need for research in applying these metrics more 
pressing. Today's publishers continue to provide new ways to support their 
consumers in disseminating and retrieving the right published works to their 
audience. Even when only considering the scholarly sites within Computer 
Science, we find that the field is well-represented - ACM Portal, IEEE Xplore, 
Google Scholar, PSU's CiteSeerX, MSR's Academic Search, Elsevier’s Mendeley, 
Tsinghua's ArnetMiner, Trier's DBLP, Hiroshima's PRESRI; with this workshop we 
hope to bring a number of these contributors together.
=== Workshop Topics ===
We invite stimulating as well as unpublished submissions on topics including - 
but not limited to - full-text analysis, multimedia and multilingual analysis 
and alignment as well as the application of citation-based NLP or information 
retrieval and information seeking techniques in digital libraries. Specific 
examples of fields of interests include (but are not limited to):
- Infrastructure for scientific mining and IR
- Semantic and Network-based indexing, navigation, searching and browsing in 
structured data
- Discourse structure identification and argument mining from scientific papers
- Summarisation and question-answering for scholarly DLs
- Bibliometrics, citation analysis and network analysis for IR
- Task based user modelling, interaction, and personalisation
- Recommendation for scholarly papers, reviewers, citations and publication 
venues
- Measurement and evaluation of quality and impact
- Metadata and controlled vocabularies for resource description and discovery;
- Automatic metadata discovery, such as language identification
- Disambiguation issues in scholarly DLs using NLP or IR techniques; Data 
cleaning and data quality
For the paper sessions, we especially invite descriptions of running projects 
and ongoing work as well as contributions from industry. Papers that 
investigate multiple themes directly are especially welcome.
=== Submission Details ===
All submissions must be written in English following Springer LNCS author 
guidelines (max. 6 pages for short and 12 pages for full papers, Springer LNCS: 
<http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>;
 exclusive of unlimited pages for references) 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. In case of no-show the paper (even if accepted) will be deleted from the 
proceedings and from the program.
EasyChair: <https://easychair.org/conferences/?conf=birndl2017>

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).

Please retweet BIRNDL cfp 
<https://twitter.com/Philipp_Mayr/status/856456193350541313>
Please retweet 3rd CL-SciSumm Summarization Shared Task cfp
<https://twitter.com/Philipp_Mayr/status/856458075485745152>
=== PC Chairs ===

- Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany
- Kokil Jaidka, University of Pennsylvania, USA
- Muthu Kumar Chandrasekaran, School of Computing, National University of 
Singapore, Singapore

The main organizers will be supported by our previous co-organizers:
- Guillaume Cabanac, University of Toulouse, France
- Ingo Frommholz, University of Bedfordshire in Luton, UK
- Min-Yen Kan, School of Computing, National University of Singapore, Singapore
- Dietmar Wolfram, School of Information Studies, University of 
Wisconsin-Milwaukee, USA

=== Program Committee ===
The following committee members have stated their support to review submissions 
to the workshop.
Akiko Aizawa, National Institute of Informatics, Japan
Iana Atanassova, Université de Franche-Comté, France
Joeran Beel, University of Konstanz, Germany
Patrice Bellot, Aix-Marseille University, France
Marc Bertin, Université du Québec à Montréal, Canada
Colin Batchelor, Royal Society of Chemistry, Cambridge, UK
Cornelia Caragea, University of North Texas, USA
Zeljko Carevic, GESIS, Germany
Jason S Chang, National Tsing Hua University, Taiwan
John Conroy, IDA Center for Computing Sciences
Ed A. Fox, Virginia Tech, USA
Norbert Fuhr, University of Duisburg-Essen, Germany
C. Lee Giles, Penn State University, USA
Bela Gipp, University of Konstanz, Germany
Nazli Goharian, Georgetown University, USA
Pawan Goyal, Indian Institute of Technology, Kharagpur
Wolfgang Glänzel, KU Leuven, Belgium
Gilles Hubert, University of Toulouse, France
Rahul Jha, Microsoft, USA
Noriko Kando, National Institute of Informatics, Japan
Dain Kaplan, Tokyo Institute of Technology, Japan
Roman Kern, Graz University of Technology, Austria
Anna Korhonen, University of Cambridge, UK
John Lawrence, University of Dundee, UK
Chin-Yew Lin, Microsoft Research Asia
Kathy McKeown, Columbia University, USA
Prasenjit Mitra, Penn State University, USA / Qatar Computing Research 
Institute, Qatar
Marie-Francine Moens, KU Leuven, Belgium
Peter Mutschke, GESIS, Germany
Preslav Nakov, Qatar Computing Research Institute, Qatar
Doug Oard, University of Maryland, College Park, MD, USA
Manabu Okumura, Tokyo Institute of Technology, Japan
Arzucan Ozgur, Bogazici University, Turkey
Cecile Paris, The Commonwealth Scientific and Industrial Research Organisation, 
Australia
Soujanya Poria, Nanyang Technological University, Singapore
Ameni Sahraoui, GESIS, Germany
Philipp Schaer, TH Cologne, Germany
Rajiv Ratn Shah, Singapore Management University, Singapore
Vivek Singh, Banaras Hindu University (BHU), India
Kazunari Sugiyama, National University of Singapore, Singapore
Pradeep Teregowda, IBM, Watson Discovery Services, USA
Mike Thelwall, University of Wolverhampton, UK
Bart Thijs, KU Leuven, Belgium
Lucy Vanderwende, Microsoft Research
Andre Vellino, University of Toronto
Anita de Waard, Elsevier Labs
Alex Wade, Microsoft Research
Stephen Wan, CSIRO ICT Centre, Australia
Yifang Yin, National University of Singapore, Singapore
​
Best regards,

Philipp Mayr, Kokil Jaidka, Muthu Kumar Chandrasekaran,
Guillaume Cabanac, Ingo Frommholz, Min-Yen Kan, and Dietmar Wolfram​​


--
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/>