| Vol-2909 urn:nbn:de:0074-2909-4 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).

# PatentSemTech 2021
Patent Text Mining and Semantic Technologies 2021

### Proceedings of the 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) 2021
co-located with the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)

### Online, July 15th, 2021.

Edited by

### Ralf Krestel *
Hidir Aras **
Linda Andersson ***
Florina Piroi ****
Allan Hanbury *****
Dean Alderucci ******

* Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482 Potsdam, Germany
** FIZ Karlsruhe - Leibniz Institute for Information Infrastructure , Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
*** Artificial Researcher IT GmbH, Taubstummengasse 11 (i2c), 1040, Wien Austria
**** RSA FG Studio Data Science, Thurngasse 8/16, 1090, Vienna Austria
***** Institute of Information Systems Engineering, TU Wien,, Favoritenstr. 9-11/194-04, Vienna, Austria
****** Center for AI and Patent Analysis, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA

## Table of Contents

- Preface
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 3 as regular papers and 4 as short papers.

### Invited Talks

- First Keynote 1
  Osmat Jefferson
- Second Keynote 2
  Noriko Kando
- Panel and Industry Demos 3-9

### Regular Papers

- Chemical Reaction Reference Resolution in Patents 10-17
  Hiyori Yoshikawa, Saber Akhondi, Camilo Thorne, Christian Druckenbrodt, Ralph Hoessel, Zenan Zhai, Jiayuan He, Timothy Baldwin, Karin Verspoor
- Prior Art Search and Reranking for Generated Patent Text 18-24
  Jieh-Sheng Lee, Jieh Hsiang
- Linguistically Informed Masking for Representation Learning in the Patent Domain 25-35
  Sophia Althammer, Mark Buckley, Sebastian Hofstätter, Allan Hanbury

### Short Papers

- Modular Development in Patent AI Space: A Case Study 36-39
  Mahesh Maan, Sam Zellner, Anirudh Sanutra
- PatentMatch: A Dataset for Matching Patent Claims & Prior Art 40-44
  Julian Risch, Nicolas Alder, Christoph Hewel, Ralf Krestel
- A Multimodal Approach for Semantic Patent Image Retrieval 45-49
  Kader Pustu-Iren, Gerrit Bruns, Ralph Ewerth
- PatentExplorer: Refining Patent Search with Domain-specific Topic Models 50-54
  Mark Buckley, Sophia Althammer, Arber Qoku

2021-07-12: submitted by Ralf Krestel, metadata incl. bibliographic data published under Creative Commons CC0
2021-07-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|