| Vol-3775 urn:nbn:de:0074-3775-1 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 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 2024
Patent Text Mining and Semantic Technologies 2024

### Proceedings of the 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2024)
co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)

### Washington D.C., USA, July 28th, 2024.

Edited by

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

* FIZ Karlsruhe - Leibniz Institute for Information Infrastructure , Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
** ZBW - Leibniz Information Centre for Economics & Kiel University, Düsternbrooker Weg 120, 24105 Kiel, 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 17 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 6 as full papers and 4 as short papers.

### Full Papers

- Multi-Task Classification Model for Multilingual Patents 1-7
  Yongxin Peng, Xinyu Tong, Yueyun Zhang, Yonghe Lu
- Improving Patent Classification using AI-Generated Summaries 8-17
  Naoya Yoshikawa, Ralf Krestel
- Semi-Supervised Learning Methods for Patent Classification Using Search-Optimized Graph-Based Representations 18-24
  Ekaterina Kotliarova, Sebastian Björkqvist
- Logic Mill - A Knowledge Navigation System 25-35
  Sebastian Erhardt, Mainak Ghosh, Erik Buunk, Michael E. Rose, Dietmar Harhoff
- Automated Patent Landscaping using Deep Learning 36-50
  Sebastian Erhardt
- Large Language Model Informed Patent Image Retrieval 51-60
  Hao-Cheng Lo, Jung-Mei Chu, Jieh Hsiang, Chun-Chieh Cho

### Short Papers

- ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs 61-66
  Arav Parikh, Shiri Dori-Hacohen
- Automatic Identification of Patent Claim Types: Enhancing Efficiency in Patent Analysis 67-71
  Rima Dessi, Hidir Aras, Mark Prince
- Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text 72-76
  Matthias Blume, Ghobad Heidari, Christoph Hewel
- Employing Active Learning for Training a DL-Model for Citation Identification in Patent Text 77-81
  Farag Saad, Hidir Aras, Mark Prince

2023-11-29: submitted by Ralf Krestel, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-04: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|