=Paper=
{{Paper
|id=Vol-3617/paper-01
|storemode=property
|title=Preface to the 13th Workshop on Bibliometric-enhanced Information Retrieval at ECIR
2023
|pdfUrl=https://ceur-ws.org/Vol-3617/paper-01.pdf
|volume=Vol-3617
|authors=Ingo Frommholz,Philipp Mayr,Guillaume Cabanac,Suzan Verberne,Jordan Brennan
|dblpUrl=https://dblp.org/rec/conf/birws/X23
}}
==Preface to the 13th Workshop on Bibliometric-enhanced Information Retrieval at ECIR
2023==
https://ceur-ws.org/Vol-3617/paper-01.pdf
Preface to the 13th Workshop on
Bibliometric-enhanced Information Retrieval
at ECIR 2023
Ingo Frommholza , Philipp Mayrb , Guillaume Cabanacc , Suzan Verberned and
Jordan Brennana
a
School of Engineering, Computing and Mathematical Sciences, University of Wolverhampton, UK
b
GESIS – Leibniz-Institute for the Social Sciences, Cologne, Germany,
c
University of Toulouse, Computer Science Department, IRIT UMR 5505, France
d
Leiden Institute of Advanced Computer Science, Leiden University, the Netherlands
Abstract
This preface summarizes the 13th Workshop on Bibliometric-enhanced Information Retrieval (BIR). BIR
2023 was held as hybrid event at April 2nd, 2023, co-located with the 45th European Conference on
Information Retrieval (ECIR 2023).
1. Introduction
These are the proceedings of the 13th Workshop on Bibliometric-enhanced Information Retrieval
(BIR 2023)1 . BIR 2023 was held as a hybrid event at the European Conference on Information
Retrieval (ECIR) in Dublin, Ireland. The aim of the Bibliometric-enhanced Information Retrieval
workshop series is to bring together researchers from different communities, especially sci-
entometrics/bibliometrics and information retrieval. In doing so, BIR has a long-established
tradition. It was launched at ECIR in 2014 [1] and has been held at ECIR each year since then.
As the topic of our workshop lies at the intersection between IR and NLP, we also ran BIR as a
joint workshop called BIRNDL (Bibliometric enhanced IR and NLP for Digital Libraries) at the
JCDL and SIGIR conferences, respectively.
BIR 2023: 13th International Workshop on Bibliometric-enhanced Information Retrieval at ECIR 2023, April 2, 2023
$ ifrommholz@acm.org (I. Frommholz); philipp.mayr@gesis.org (P. Mayr); guillaume.cabanac@univ-tlse3.fr
(G. Cabanac); s.verberne@liacs.leidenuniv.nl (S. Verberne); j.brennan@wlv.ac.uk (J. Brennan)
https://philippmayr.github.io/ (P. Mayr)
0000-0002-5622-5132 (I. Frommholz); 0000-0002-6656-1658 (P. Mayr); 0000-0003-3060-6241 (G. Cabanac);
0000-0002-9609-9505 (S. Verberne)
© 2023 Copyright for this paper by its authors.
Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
CEUR Workshop Proceedings (CEUR-WS.org)
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073
1
All pointers to past and future workshops as well as to proceedings are hosted at https://sites.google.com/view/
bir-ws/
1
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
2. Overview of the papers
This year seven submissions were accepted as full papers. The submissions have been peer-
reviewed and presented at the workshop. In addition, the workshop featured two keynote
talks. All workshop contributions are documented on the workshop website2 . The following
section briefly lists the various contributions. The respective extended abstracts and papers are
contained in these proceedings.
2.1. Keynotes
We had two keynote speakers this year.
Andrea Scharnhorst (Royal Netherlands Academy of Arts and Sciences, Netherlands)
Documenting the research process. Opportunities and challenges for Bibliometrics and IR.
Jakub Zavrel (Zeta Alpha, Netherlands) Knowledge Discovery in the Age of LLMs.
2.2. Research papers
The following research papers were presented.
• Léane Jourdan, Florian Boudin, Richard Dufour and Nicolas Hernandez:
Text revision in Scientific Writing Assistance: A Review
• Debayan Banerjee, Sushil Awale, Ricardo Usbeck and Chris Biemann:
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
• Veronika Ivanova, Oleg Lashinin, Marina Ananyeva and Sergey Kolesnikov:
RecBaselines2023: a new dataset for choosing baselines for recommender models
• Marc Bertin and Iana Atanassova:
Citing Foreign Language Sources : an Analysis of the S2ORC Dataset
• Rand Alchokr, Rayed Haider, Yusra Shakeel, Thomas Leich, Gunter Saake and Jacob
Krüger:
Forecasting Publications’ Success Using Machine Learning Prediction Models
• Andreas Nishikawa-Pacher:
Scientific Journals’ Twitter Accounts and Impact Factor: A Causal Analysis Based on a
Synthetic Control
• Marcin Oleksy, Przemysław Kazienko and Maciej Dzieżyc:
Evaluating the Effectiveness of Research Grants with Journal Bibliometrics
2
https://sites.google.com/view/bir-ws/bir-2023
2
3. Further reading
In 2020, the BIR organizers have edited a Special issue on “Scholarly literature mining with
Information Retrieval and Natural Language Processing”3 in the journal Scientometrics (Springer).
In total, fourteen papers on all aspects of academic search were accepted, see an overview [2].
Since 2016 we maintain the “Bibliometric-enhanced-IR Bibliography”4 that collects scientific
papers which appeared in collaboration with the BIR/BIRNDL organizers.
Acknowledgments
The European Union funded the work by Philipp Mayr under the Horizon Europe grant OMINO
(grant number 101086321). UK Research and Innovation (UKRI) guarantee-funded the work
by Ingo Frommholz and Jordan Brennan (grant number EP/X040496/1). Views and opinions
expressed are however those of the author(s) only and do not necessarily reflect those of the
European Union, the European Research Executive Agency or UKRI. Neither the European
Union nor European Research Executive Agency or UKRI can be held responsible for them.
The organizers wish to thank all those who contributed to this workshop series: the re-
searchers who contributed papers, the many reviewers who generously offered their time and
expertise, our keynote speakers, and the participants of the BIR and BIRNDL workshops.
We also like to thank the ECIR 2023 organisers for providing an environment that made
BIR 2023 an enjoyable and exciting event.
References
[1] P. Mayr, A. Scharnhorst, B. Larsen, P. Schaer, P. Mutschke, Bibliometric-Enhanced Informa-
tion Retrieval, in: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The
Netherlands, April 13-16, 2014. Proceedings, Springer International Publishing, 2014, pp.
798–801. URL: http://arxiv.org/abs/1310.8226. doi:10.1007/978-3-319-06028-6_99.
[2] G. Cabanac, I. Frommholz, P. Mayr, Scholarly literature mining with Information Retrieval
and Natural Language Processing: Preface, Scientometrics 125 (2020) 2835–2840. doi:10.
1007/s11192-020-03763-4.
3
https://sites.google.com/view/scientometrics-si2019-bir
4
https://github.com/PhilippMayr/Bibliometric-enhanced-IR_Bibliography/
3