[Sigmetrics] Deadline Extension: BIRNDL’17: Bibliometric-enhanced IR and NLP for Digital Libraries workshop @SIGIR 2017

Mayr-Schlegel, Philipp Philipp.Mayr-Schlegel at gesis.org
Tue May 23 15:46:57 EDT 2017

Submission deadline has been extended due to several requests to June 04, 2017!

== 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.

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: June 04, 2017
- Notification: June 29, 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
=== 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, Trinity College Dublin, ADAPT Centre
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 at gesis.org<mailto:philipp.mayr at gesis.org>
Web: http://www.gesis.org<http://www.gesis.org/>

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