Vol-3604
urn:nbn:de:0074-3604-0

Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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 2023
Patent Text Mining and Semantic Technologies (PatentSemTech) 2023

Proceedings of the 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) 2023
co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

Taipeh, Taiwan, July 27th, 2023.

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 10 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 2 as regular papers and 5 as short papers.

Regular Papers

Benchmarking Natural Language Processing Algorithms for Patent Summarization 1-11
Silvia Casola, Alberto Lavelli
Explainable Artificial Intelligence for Highlighting and Searching in Patent Text 12-21
Renukswamy Chikkamath, Rana Fassahat Ali, Christoph Hewel, Markus Endres

Short Papers

Automatic Generation of Explanatory Text from Flowchart Images in Patents 22-26
Hidetsugu Nanba, Shohei Kubo, Satoshi Fukuda
Ensemble Method for Classification in Imbalanced Patent Data 27-32
Eleni Kamateri, Michail Salampasis
Patent Classification on Search-Optimized Graph-Based Representations 33-38
Jarkko Lagus, Ekaterina Kotliarova, Sebastian Björkqvist
Exploring the Impact of Negative Sampling on Patent Citation Recommendation 39-43
Rima Dessi, Hidir Aras, Mehwish Alam
A Patent Semantic Representation Using Technical Compound Sentences 44-49
Shuxuan Xiang, Jin Mao, Gang Li

2023-11-29: submitted by Ralf Krestel, metadata incl. bibliographic data published under Creative Commons CC0
2023-01-01: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|