| Vol-2847 urn:nbn:de:0074-2847-8 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# BIR 2021
Bibliometric-enhanced Information Retrieval

### Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval
co-located with 43rd European Conference on Information Retrieval (ECIR 2021)

### Lucca, Italy (online only), April 1st, 2021.

Edited by

### Ingo Frommholz **
Philipp Mayr ***
Guillaume Cabanac *
Suzan Verberne ****

* University of Toulouse, Toulouse, France
** University of Wolverhampton, Wolverhampton, UK
*** GESIS - Leibniz-Institute for the Social Sciences, Cologne, Germany
**** University of Leiden, Leiden, The Netherlands

## Table of Contents

- Preface to the 11th Workshop on Bibliometric-enhanced Information Retrieval at ECIR 2021 1-4
  Ingo Frommholz, Philipp Mayr, Guillaume Cabanac, Suzan Verberne
- Self-Supervised Learning for Visual Summary Identification in Scientific Publications 5-19
  Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš, Shigeo Morishima
- Argumentation Mining in Scientific Literature: From Computational Linguistics to Biomedicine 20-36
  Pablo Accuosto, Mariana Neves, Horacio Saggion
- Preprint Abstracts in Times of Crisis: a Comparative Study with the Pre-pandemic Period 37-44
  Frederique Bordignon, Liana Ermakova, Marianne Noel
- Expertise Based Institutional Recommendation in Different Thematic Areas 45-52
  Hiran H. Lathabai, Abhirup Nandy, Vivek Kumar Singh
- A Select and Rewrite Approach to the Generation of Related Work Reports 53-68
  Ahmed Abura'ed, Horacio Saggion
- Bibliometric Indicators and Relevance Criteria – An Online Experiment 69-77
  Jacqueline Sachse
- Improving Reference Mining in Patents with BERT 78-88
  Ken Voskuil, Suzan Verberne
- PatentQuest: A User-Oriented Tool for Integrated Patent Search 89-101
  Manajit Chakraborty, David Zimmermann, Fabio Crestani
- "This research is funded by...": Named Entity Recognition of Financial Information in Research Papers 102-110
  Daria Alexander, Arjen P. de Vries

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2021-04-06: submitted by Ingo Frommholz, metadata incl. bibliographic data published under Creative Commons CC0
2021-04-10: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|