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|