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CODE4LIB  July 2020

CODE4LIB July 2020

Subject:

3rd and Final Call for Papers: SDP@EMNLP 2020: 1st Workshop on Scholarly Document Processing and Shared Tasks (SDP 2020)

From:

Min Yen KAN <[log in to unmask]>

Reply-To:

Code for Libraries <[log in to unmask]>

Date:

Wed, 22 Jul 2020 18:13:43 +0800

Content-Type:

text/plain

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Parts/Attachments

text/plain (231 lines)

Call for papers

Dear colleagues,

You are invited to participate in the 1st Workshop on Scholarly Document
Processing (SDP 2020) to be held in conjunction with the 2020 Conference on
Empirical Methods in Natural Language Processing (EMNLP 2020) on November
19. The workshop will be held VIRTUALLY with EMNLP 2020.

Important update:

   -

   The final submission deadline for research papers (research track) is August
   15, 2020.


About the workshop:

The SDP 2020 workshop will consist of a research track and three
summarization shared tasks.

The shared tasks include the 6th edition of the CL-SciSumm shared task and
two new summarization tasks -- CL-LaySumm and LongSumm -- geared towards
easier access to scientific methods and results. <
https://ornlcda.github.io/SDProc/sharedtasks.html>

Detailed call for papers:

** Introduction **

In addition to the long-standing challenge faced by scholars of keeping up
with the growing literature in their own and related fields, they must now
compete with malign pseudo-science and disinformation in informing public
policy and behavior. This has stimulated workshops and research focused on
enhancing search, retrieval, summarization, and analysis of scholarly
documents. However, the general research community on scholarly document
processing remains fragmented, and efforts towards natural language
understanding of scholarly text that is central to vastly improve all the
said downstream applications are not widespread.

To address these gaps, we propose the first Workshop on Scholarly Document
Processing.

We seek to reach to the broader NLP and AI/ML community to pool the
distributed efforts to improve scholarly document understanding and enable
intelligent access to the published research. The goal of SDP is two-fold:
to increase collaboration between communities interested in leveraging
knowledge stored in scholarly literature and data, and to establish SDP as
the single-focused primary venue for the field.

We seek to appeal to the mainstream NLP and ML community working on SDP
tasks – which are NLP tasks – to publish at SDP as we seek to establish SDP
as the integrated premier venue. We have established a steering committee <
https://ornlcda.github.io/SDProc/steeringcommittee.html> to help us turn
SDP into a conference in the forthcoming years.

** Topics of Interest **

We invite submissions from all communities interested in natural language
processing, information retrieval, and data mining problems in scholarly
documents; and in processing scholarly documents for easier access to
various audiences. The topics of interest include, but are not limited to:


   -

   Information extraction, text mining and parsing scholarly literature
   -

   Reproducibility and peer review
   -

   Lay summarization (i.e., summaries created for non-experts) of
   individual and collections of scholarly documents
   -

   Discourse modeling and argument mining
   -

   Summarization and question-answering for scholarly documents
   -

   Semantic and network-based indexing, search and navigation in structured
   text
   -

   Graph analysis/mining including citation and co-authorship networks
   -

   Analysing and mining of citation contexts for document understanding and
   retrieval
   -

   New scholarly language resources and evaluation
   -

   Connecting and interlinking publications, data, tweets, blogs or their
   parts
   -

   Disambiguation, metadata extraction, enrichment, and data quality
   assurance for scholarly documents
   -

   Bibliometrics, scientometrics, and altmetrics approaches and applications
   -

   Other aspects of scholarly workflows including open access/science, and
   research assessment
   -

   Infrastructures for accessing scholarly publications and/or research data
   -

   Results and research questions on the COVID-19 Open Research Dataset
   (CORD-19)


** Submission Information **

Authors are invited to submit full and short papers with unpublished,
original work. Submissions will be subject to a double-blind peer review
process. Accepted papers will be presented by the authors at the workshop
either as a talk or a poster. All accepted papers will be published in the
workshop proceedings.

Submission Website: Submission is electronic, using the Softconf START
conference management system: https://www.softconf.com/emnlp2020/sdp2020/

The submissions should be in PDF format and anonymized for review. All
submissions must be written in English and follow the EMNLP 2020 formatting
requirements: https://2020.emnlp.org/call-for-papers.

Long paper submissions: up to 8 pages of content, plus unlimited references.

Short paper submissions: up to 4 pages of content, plus unlimited
references.

Final versions of accepted papers will be allowed 1 additional page of
content so that reviewer comments can be taken into account.

** Important Dates **

Research track:

Submission deadline – August 15, 2020

Notification of Acceptance – September 29, 2020

Camera-ready submission due – October 10, 2020

Workshop – November 19, 2020

** SDP 2020 Keynote Speakers **

SDP keynotes are invited by the organizing committee and will present in
the research track of the workshop.


   1.

   Kuansan Wang
<https://www.microsoft.com/en-us/research/people/kuansanw/>, Managing
   Director, Microsoft Research Outreach Academic Services
   2.

   Steinn Sigurdsson <https://science.psu.edu/astro/people/sxs540>,
   Scientific Director of arXiv and Professor at the Pennsylvania State
   University


** Organizing Committee **

Muthu Kumar Chandrasekaran, Amazon, Seattle, USA

Anita de Waard, Elsevier, USA

Guy Feigenblat, IBM Research AI, Haifa Research Lab, Israel

Dayne Freitag, SRI International, San Diego, USA

Tirthankar Ghosal, Indian Institute of Technology Patna, India

Eduard Hovy, Research Professor, LTI, Carnegie Mellon University, USA

Petr Knoth, Open University, UK

David Konopnicki, IBM Research AI, Haifa Research Lab, Israel

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

Robert M. Patton, Oak Ridge National Laboratory, USA

Michal Shmueli-Scheuer, IBM Research AI, Haifa Research Lab, Israel

Dominika Tkaczyk, Crossref, UK

** Steering Committee **

C. Lee Giles, David Reese Professor, College of Information Sciences and
Technology, Pennsylvania State University

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

Dragomir Radev, A. Bartlett Giamatti Professor of Computer Science, Yale
University

Jie Tang, Professor and Associate Chair of the Department of Computer
Science and Technology, Tsinghua University

Alex Wade, Group Technical Program Manager, Chan Zuckerberg Initiative

Kuansan Wang, Managing Director, Microsoft Research Outreach Academic
Services

Bonnie Webber, Professor, School of Informatics, University of Edinburgh

** Programme Committee **

Please visit our website for the complete list of PCs:
https://ornlcda.github.io/SDProc/programcommittee.html

More details available on the workshop website:

https://ornlcda.github.io/SDProc/

With kind regards,

SDP 2020 organizing committee

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