[InetBib] CfP BIR@ECIR2023 - 13th International Workshop on Bibliometric-enhanced Information Retrieval

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

You are invited to submit to the 13th international workshop on 
Bibliometric-enhanced Information Retrieval (BIR 2023), to be held as part of 
the 45th European Conference on Information Retrieval (ECIR 2023, 
https://ecir2023.org/) in Dublin, Ireland.


https://sites.google.com/view/bir-ws/bir-2023


We encourage speakers to join us in Dublin, but remote attendance will be 
possible.


=== Important Dates ===
All dates are in Anywhere on Earth - AoE Time Zone


- Submissions: 20 January 2023

- Notifications: 17 February 2023

- Camera Ready Contributions: 03 March 2023

- Workshop: 02 April 2023


=== tl;dr ===

The Bibliometric-enhanced Information Retrieval (BIR) workshop series at ECIR

tackles issues related to academic search, at the intersection between

Information Retrieval and Bibliometrics.  BIR is a hot topic investigated by

both academia (e.g., ArnetMiner, CiteSeerX) and the industry (e.g., Google

Scholar, Microsoft Academic Search, Semantic Scholar). A one-day workshop is to

be held with ECIR 2023.


An overview of the BIR/BIRNDL workshop series can be found at

https://sites.google.com/view/bir-ws/home. Past BIR proceedings are online

https://dblp.org/search?q=BIR.ECIR as open access.


=== Keywords ===

Academic Search * Information Retrieval * Digital Libraries * Bibliometrics *

Scientometrics


=== Workshop Topics ===

We welcome (but are not limited to) submissions regarding the aspects of

academic search below:


 - Information seeking & searching with scientific information, such as:

     . Finding relevant papers/authors for a literature review.

     . Measuring the degree of plagiarism in a paper.

     . Identifying expert reviewers for a given submission.

     . Flagging predatory conferences and journals.

     . Information seeking behaviour and human-computer interaction in academic

search.


 - Mining the scientific literature, such as:

     . Information extraction, text mining and parsing of scholarly literature.

     . Natural language processing (e.g., citation contexts).

     . Discourse modelling and argument mining.

     . Neural models.


 - Academic search/recommender systems, such as:

     . Modelling the multifaceted nature of scientific information.

     . Building test collections for reproducible BIR.

     . System support for literature search and recommendation.


 - Dataset development for bibliographic research


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 the CEURART 1-column paper

style (6 to 12 pages, please see below) 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.


CEURART (incl. LaTeX and Word templates)

<https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/>


Submission via EasyChair:

<https://easychair.org/conferences/?conf=bir2023>


Page limits:

  Full paper: 12 pages excluding references

  Short paper: 6 pages excluding references


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).


=== Program Chairs ===

Ingo Frommholz, University of Wolverhampton, UK

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

Guillaume Cabanac, University of Toulouse, France

Suzan Verberne, Leiden University, the Netherlands


For any enquiries please send an email to 
bir2023@xxxxxxxxxxxxx<mailto:bir2023@xxxxxxxxxxxxx>.

Tweet: https://twitter.com/Philipp_Mayr/status/1590365563821461507

--
Dr. Philipp Mayr
Team Leader Information & Data Retrieval

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: https://www.gesis.org/en/kts