[Corpora-List] CfP BIR at ECIR2021 - 11th International Workshop on Bibliometric-enhanced Information Retrieval

Ingo Frommholz ifrommholz at acm.org
Mon Dec 21 17:39:23 CET 2020


CfP BIR at ECIR2021 - 11th International Workshop on Bibliometric-enhanced Information Retrieval - https://sites.google.com/view/bir-ws/bir-2021

You are invited to submit to the 11th international workshop on Bibliometric-enhanced Information Retrieval (BIR 2021), to be held as part of the 43rd European Conference on Information Retrieval (ECIR 2021, https://www.ecir2021.eu).

<https://sites.google.com/view/bir-ws/bir-2021>

=== Important Dates === - Submissions: 19 January 2021 - Notifications: 19 February 2021 - Camera Ready Contributions: 12 March 2021 - Workshop: April 1 2021 Online

=== 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 2021.

An overview of the BIR/BIRNDL workshop series can be found at https://sites.google.com/view/bir-ws/home. Past BIR(NDL) 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.

- 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/

EasyChair: https://easychair.org/conferences/?conf=bir2021

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 Committee ===

to be confirmed.

=== 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

This CfP on Twitter <https://twitter.com/iFromm/status/1341029366323699712>, please retweet!

-- Dr Ingo Frommholz, Reader in Data Science School of Mathematics and Computer Science University of Wolverhampton Wolverhampton WV1 1LY, UK http://www.frommholz.org/ | https://www.linkedin.com/in/frommholz/ Email: i.frommholz at wlv.ac.uk, ifrommholz at acm.org Twitter: @iFromm | Mastodon: @ingo at idf.social PGP/GPG fingerprint: B1AB F93D DB71 3AFB 324E 7297 9485 57CA 64B1 8FC7 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x948557CA64B18FC7



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