[InetBib] [2nd CfP] BIRNDL workshop @SIGIR’2018: 3rd Joint Workshop on Bibliometric-enhanced IR and NLP for Digital Libraries

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

=== Call for Papers ===
You are invited to participate in the 3rd Joint Workshop on 
Bibliometric-enhanced IR and NLP for Digital Libraries (BIRNDL), to be held as 
part of 41st International ACM SIGIR Conference on Research and Development in 
Information Retrieval (SIGIR 2018) in Ann Arbor, Michigan USA on 12th July 2018.
<http://wing.comp.nus.edu.sg/~birndl-sigir2018/>
This is the third BIRNDL workshop, second at SIGIR, following a series of 
successful BIR workshops at ECIR and other premier IR venues. In conjunction 
with the BIRNDL workshop, we will also hold the 4th CL-SciSumm Shared Task in 
Scientific Document Summarization.

<http://wing.comp.nus.edu.sg/~cl-scisumm2018/>

We are happy to announce that Prof. Byron Wallace (Northeastern University) 
will deliver the keynote address at BIRNDL 2018. The title of his talk is 
“Semi-Automating Biomedical Evidence Synthesis via Machine Learning and Natural 
Language Processing”.

=== Important Dates ===
- Submissions deadline extended: May 10, 2018
- Notification: May 31, 2018
- Camera Ready Contributions: June 25, 2018
- Workshop: July 12, 2018 in Ann Arbor Michigan, USA
=== Aim of the Workshop ===
The goal of the BIRNDL workshop at SIGIR is to engage the IR community about 
the open problems in academic search. Academic search refers to the large, 
cross-domain digital repositories which index research papers, such as the ACL 
Anthology, ArXiv, ACM Digital Library, IEEE database, Web of Science and Google 
Scholar. Currently, digital libraries collect and allow access to papers and 
their metadata --- including citations --- but mostly do not analyze the items 
they index. The scale of scholarly publications poses a challenge for scholars 
in their search for relevant literature. Finding relevant scholarly literature 
is the key theme of BIRNDL and sets the agenda for tools and approaches to be 
discussed and evaluated at the workshop. We would also like to address the need 
for established, standardized baselines, evaluation metrics and test 
collections.

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.

See the proceedings of the second BIRNDL workshop at SIGIR 2017 
<http://ceur-ws.org/Vol-1888/> and <http://ceur-ws.org/Vol-2002/> and a recent 
report in SIGIR Forum <http://sigir.org/wp-content/uploads/2018/01/p107.pdf>.

=== 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
- Information extraction and parsing tasks in scientific papers
- Population of a science knowledge base and performing inference on it
- 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
- Evaluation baselines, metrics and test collections for research problems in IR
For the paper session, 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.

=== The CL-SciSumm Shared Task ===
The CLSciSumm18 corpus is expected to be of interest to a broad community 
including those working in computational linguistics and natural language 
processing, text summarization, discourse structure in scholarly discourse, 
paraphrase, textual entailment and text simplification.
The task constitutes automatic scientific paper summarization in the 
Computational Linguistics (CL) domain. The output summaries will be of two 
types: faceted summaries of the traditional self-summary (the abstract) and the 
community summary (the collection of citation sentences ‘citances’). We also 
propose to group the citances by the facets of the text that they refer to.
At SIGIR 2018, we will hold the 4th Computational Linguistics (CL) Scientific 
Summarization Shared Task http://wing.comp.nus.edu.sg/~cl-scisumm2018/ which is 
sponsored by Microsoft Research Asia. This task follows up on the successful 
CLSciSumm-2017 @ SIGIR 2017, CLScisumm-2016 task @ JCDL 2016, Newark, NJ, USA 
and a Pilot Task conducted as a part of the BiomedSumm Track at the Text 
Analysis Conference 2014 (TAC 2014). In this task, a training corpus of ten 
topics from CL research papers was released. Participants were invited to enter 
their systems in a task-based evaluation.

=== Submission Information ===
- Research track: All submissions must be written in English, following the 
Springer LNCS author guidelines (max. 6 pages for short and 12 pages for full 
papers; exclusive of unlimited pages for references) and should be submitted as 
PDF files to EasyChair <https://easychair.org/conferences/?conf=birndl2018>. 
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 submissions and reviewing will be managed by the EasyChair conference 
management system.
- Poster track: We welcome submissions detailing original, early findings, 
works in progress and industrial applications of bibliometrics and IR for a 
special poster session, possibly with a 2-minute presentation in the main 
session. Some research track papers will also be invited to the poster track 
instead, although there will be no difference in the final proceedings between 
poster and research track submissions. These papers should follow the same 
format as the research track papers.
- Shared Task: Teams that wish to participate in the CL Shared Task track at 
BIRNDL 2018 are invited to register on EasyChair with a title and a tentative 
abstract describing their approach. Participants are advised to register as 
soon as possible in order to receive timely access to evaluation resources, 
including development and testing data. Registration for the task does not 
commit you to participation - but is helpful to know for planning. All 
participants who submit system runs are welcome to present their system at the 
BIRNDL Workshop in the poster session, while the best performing system will be 
invited to present their paper in the main session. Dissemination of CL-SciSumm 
work and results other than in the workshop proceedings is welcomed, but the 
conditions of participation specifically preclude any advertising claims based 
on these results. Any questions about conference participation may be sent to 
the organizers mentioned below.

=== Organising Committee ===
- Muthu Kumar Chandrasekaran, <http://wing.comp.nus.edu.sg/~cmkumar/>
- Kokil Jaidka, <http://kokiljaidka.wordpress.com/>
- Philipp Mayr, <https://philippmayr.github.io/>


--
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/>

General Co-Chair of 41st ECIR 2019
http://ecir2019.org/