== Final Call for Papers ==

You are invited to participate in the upcoming Joint workshop on
Bibliometric-enhanced IR and NLP for Digital Libraries (BIRNDL), to be
held as part of the Joint Conference on Digital Libraries 2016 (JCDL
2016) in Newark, New Jersey, USA.

We are happy to announce that our first keynote will be given by
Dietmar Wolfram (University of Wisconsin-Milwaukee): “Bibliometrics,
Information Retrieval and Natural Language Processing: Natural
Synergies to Support Digital Library Research”.

(http://wing.comp.nus.edu.sg/birndl-jcdl2016/)

The past BIR and NLPIR4DL organizers are proposing this workshop at
JCDL together. In conjunction with the workshop, we will hold the 2nd
CL-SciSumm Shared Task in Scientific Document Summarization.
(http://wing.comp.nus.edu.sg/cl-scisumm2016/)

Reports from the shared task systems will be featured as part of a
session at the workshop.

=== Important Dates ===

- Submissions: 25 April 2016 (extended)
- Notification: 16 May 2016
- Camera Ready Contributions: 09 June 2016
- Workshop: 23 June 2016 in Newark, New Jersey, USA

=== Aim of the Workshop ===

Current digital libraries collect and allow access to digital papers
and their metadata (including citations), but mostly do not analyze
the items they index. The large scale of scholarly publications poses
a challenge for scholars in their search for relevant literature.
Searchers of digital libraries, citation indices and journal databases
are inundated with thousands of results. The community needs to
develop techniques to better support both basic as well as
higher-order information seeking and scholarly sensemaking activities.

The BIRNDL 2016 workshop is a joint scientific event gathering
scholars from the BIR (Bibliometric-enhanced Information Retrieval)
and the NLPIR4DL (Text and citation analysis for scholarly digital
libraries) communities. The scope of BIRNDL is on scholarly
publications and data - the explosion in the production of scientific
literature and the growth of scientific enterprise; its consistent
exponential growth approaches an empirical law. The workshop will
investigate how natural language processing, information retrieval,
scientometric and recommendation techniques 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.

This workshop will be relevant to scholars in the cross-disciplinary
field of Computer Science and Digital Libraries, in particular in the
research areas of Natural Language Processing and in Information
Retrieval; it will also be important for all stakeholders in the
publication pipeline: implementers, publishers and policymakers. 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. Today's publishers continue to seek new ways to be relevant
to their consumers, in disseminating the right published works to
their audience. The fact that formal citation metrics have become an
increasingly large factor in decision-making by universities and
funding bodies worldwide makes the need for research in such topics
and for better methods for measuring the impact of work more pressing.

This workshop is also informed by an ongoing COST Action TD1210
KnowEscape. http://www.knowescape.org

=== Workshop Topics ===

To support the previously described goals the workshop topics include
(but are not limited to) the following:

- Information retrieval (IR) for digital libraries and scientific
information portals

- IR for scholarly text, e.g. citation-based IR

- IR for scientific domains, e.g. social sciences, life sciences etc.

- Information Seeking Behaviour

- Navigation, searching and browsing in scholarly DLs; Niche search in
scholarly DLs; New information access methods for scientific papers

- Query expansion and relevance feedback approaches

- Question-answering for scholarly DLs

- Recommendations based on explicit and implicit user feedback

- Recommendation for scholarly papers, reviewers, citations and
publication venues

- (Social) Book Search

- Summarisation of scientific articles; Automatic creation of reviews
and automatic qualitative assessment of submissions;

- Bibliometrics, citation analysis and network analysis for IR;
Citation function/motivation analysis; Novel bibliographic metrics;
Topical modeling analysis

- Knowledge discovery and analysis of the ancestry of ideas

- Metadata and controlled vocabularies for resource description and
discovery; Automatic metadata discovery, such as language
identification

- Translation, multilingual and multimedia analysis and alignment of
scholarly works

- Analyses of writing style in scholarly publications

- Science Modelling (both formal and empirical)

- Task based user modelling, interaction, and personalisation

- (Long-term) Evaluation methods and test collection design

- Collaborative information handling and information sharing

- Disambiguation issues in scholarly DLs using NLP or IR techniques;
Data cleaning and data quality

- Classification, categorisation and clustering approaches

- Information extraction (including topic detection, entity and
relation extraction)



For the paper sessions we 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/lncs); 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=birndl2016)

Workshop proceedings will be deposited online in the CEUR workshop
proceedings publication service (ISSN 1613-0073) and in the ACL
Anthology. This way the proceedings will be permanently available and
citable (digital persistent identifiers and long term preservation).

Planned IJDL Special Issue:

We are currently working with the International Journal on Digital
Libraries (IJDL) to edit a special issue that may feature extended
works from BIRNDL. Selected workshop papers from BIRNDL may be
fast-tracked for extension shortly after the workshop, and be
re-reviewed for publication. IJDL is a Springer journal and indexed
in SCOPUS, INSPEC, ACM Digital Library, DBLP, and other indices.

=== Organizers ===

Guillaume Cabanac, University of Toulouse, France

Muthu Kumar Chandrasekaran, School of Computing, National University
of Singapore, Singapore

Ingo Frommholz, University of Bedfordshire in Luton, UK

Kokil Jaidka, Big Data Experience Lab, Adobe Research, India

Min-Yen Kan, School of Computing, National University of Singapore, Singapore

Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany

Dietmar Wolfram, School of Information Studies, University of
Wisconsin-Milwaukee, USA



=== Program Committee ===

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

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

C. Lee Giles, Penn State University

Bela Gipp, University of Konstanz, Germany

Nazli Goharian, Georgetown University

Sujatha Das Gollapalli, Institute for Infocomm Research, A*STAR, Singapore

Pawan Goyal, Indian Institute of Technology, Kharagpur

Daniel Hienert, GESIS, Germany

Gilles Hubert, University of Toulouse, France

Rahul Jha, Microsoft

Noriko Kando, National Institute of Informatics, Japan

Dain Kaplan, Tokyo Institute of Technology

Roman Kern, Graz University of Technology

Claus-Peter Klas, GESIS, Germany

Anna Korhonen, University of Cambridge

John Lawrence, University of Dundee

Cyril Labbé, Université Joseph Fourier, Grenoble, France

Birger Larsen, Aalborg University, Denmark

Elizabeth Liddy, Syracuse University

Chin-Yew Lin, Microsoft Research

Xiaozhong Liu, Indiana University, Bloomington

Kathy McKeown, Columbia University

Stasa Milojevic, Indiana University, USA

Prasenjit Mitra, Penn State University / Qatar Computing Research Institute

Marie-Francine Moens, KU Leuven

Peter Mutschke, GESIS, Germany

Preslav Nakov, Qatar Computing Research Institute

Doug Oard, University of Maryland, College Park

Manabu Okumura, Tokyo Institute of Technology

Byung-won On, Kunsan National University

Arzucan Ozgur, Bogazici University

Cecile Paris, The Commonwealth Scientific and Industrial Research Organisation

Philipp Schaer, GESIS, Germany

Andrea Scharnhorst, DANS, Netherlands

Henry Small, SciTech Strategies, USA

Kazunari Sugiyama, National University of Singapore

Simone Teufel, University of Cambridge

Mike Thelwall, University of Wolverhampton

Lucy Vanderwende, Microsoft Research

Vasudeva Varma, International Institute of Information Technology,
Hyderabad, India

Andre Vellino, University of Toronto

Anita de Waard, Elsevier Labs

Alex Wade, Microsoft Research

Stephen Wan, CSIRO ICT Centre, Australia