* Deadline extended to February 2, 2024 * You are invited to submit your contribution to the 14th international workshop on Bibliometric-enhanced Information Retrieval (BIR 2024), to be held as part of the 46th European Conference on Information Retrieval (ECIR 2024, https://www.ecir2024.org/) in Glasgow, Scotland.
https://sites.google.com/view/bir-ws/bir-2024 The workshop is planned as an onsite event. We encourage all speakers to join us in Glasgow (UK). === Important Dates === All dates are in Anywhere on Earth – AoE Time Zone - Submissions: 2 February 2024 - Notifications: 19 February 2024 - Camera Ready Contributions: 3 March 2024 - Workshop: 24 March 2024 === 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 and industry (e.g., Dimensions, Lens, Google Scholar, scite.ai, Semantic Scholar). The BIR workshop at ECIR is a full-day workshop. An overview of the BIR/BIRNDL workshop series can be found at: https://sites.google.com/view/bir-ws/home. Past BIR proceedings are available online at https://dblp.org/search?q=BIR.ECIR as open access. === Keywords === Academic Search • Information Retrieval • Digital Libraries • Bibliometrics • Scientometrics === Workshop Topics === During BIR 2024, we address, but are not limited to, the following current research topics regarding 4 aspects of the academic search and recommendation process: User needs and behaviour regarding scientific information, such as: Finding relevant papers/authors for a literature review. Identifying expert reviewers for a given submission. Understanding information-seeking behaviour and HCI in academic search. Filtering high-quality research papers, e.g., in preprint servers. Measuring the degree of plagiarism in a paper. Flagging predatory conferences and journals, or other forms of scientific misbehaviour. Mining the scientific literature, such as: Information extraction, text mining and parsing of scholarly literature. Natural language processing of scientific papers (e.g., citation contexts). Discourse modelling and argument mining. Academic search/recommendation systems, such as: Modelling the multifaceted nature of scientific information. Building test collections for reproducible BIR. System support for literature search and recommendation. Computational methods for systematic reviewing. Generative AI and Large Language Models with bibliometric-enhanced IR, such as: Retrieval-augmented LLMs for academic search and recommendation. LM-enhanced retrieval and recommendation in scholarly settings. Challenges with generative LLMs for scholarly texts and references. 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 pages (short paper), 12 pages (full paper)/, 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=bir2024 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). === Workshop 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 email [email protected]. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: [email protected] Twitter: @iFromm | Mastodon: @[email protected] PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166 _______________________________________________ Corpora mailing list -- [email protected] https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to [email protected]
