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3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022)

Published: 07 July 2022 Publication History

Abstract

Steadily increasing numbers of patent applications per year and large amounts of available patent data necessitate highly efficient and interactive next-generation information retrieval systems in the patent domain. AI and Machine Learning (ML) methods such as Deep Learning (DL) are successfully adopted in many domains, so patent researchers and practitioners start to employ AI-based approaches as well, to support experts in the patenting process or to automate patent analysis and retrieval processes. AI-enhanced Information Retrieval systems can improve patent search and analysis but also require millions of annotated sample data for training the ML models. When working with patent data, particular challenges arise that call for adaption of existing IR and AI methods as well as development of novel approaches suited for the patent domain. The focus of the 3rd edition of this workshop will be on two-way communication between industry and academia from all areas of Information Retrieval, such as Natural Language Processing (NLP), Text and Data Mining (TDM), and Semantic Technologies (ST). We want to bring together novel research results and the latest systems and methods employed by the Intellectual Property (IP) industry.

References

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Linda Andersson, Hidir Aras, Florina Mihaela Piroi, and Allan Hanbury (Eds.). 2019. Proceedings of the 1st Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech). Institut für Information Systems Engineering, TU Wien, Austria. https://doi.org/10.34726/pst2019
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Linda Andersson, Mihai Lupu, Jo ao Palotti, Allan Hanbury, and Andreas Rauber. 2016. When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval?. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (Indianapolis, Indiana, USA) (CIKM '16). Association for Computing Machinery, New York, NY, USA, 1453--1462. https://doi.org/10.1145/2983323.2983858
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Allan Hanbury, Veronika Zenz, and Helmut Berger. 2010. 1st international workshop on advances in patent information retrieval (AsPIRe'10). SIGIR Forum, Vol. 44, 1 (2010), 19--22. https://doi.org/10.1145/1842890.1842893
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Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, and Dean Alderucci. 2021. 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11--15, 2021 . ACM, 2693--2696. https://doi.org/10.1145/3404835.3462816
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Cited By

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  • (2024)5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024)Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657986(3021-3024)Online publication date: 10-Jul-2024
  • (2023)4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023)Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591929(3483-3486)Online publication date: 19-Jul-2023

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cover image ACM Conferences
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
July 2022
3569 pages
ISBN:9781450387323
DOI:10.1145/3477495
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 July 2022

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Author Tags

  1. deep learning
  2. patent analysis
  3. semantic technology
  4. text mining

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View all
  • (2024)5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024)Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657986(3021-3024)Online publication date: 10-Jul-2024
  • (2023)4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023)Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591929(3483-3486)Online publication date: 19-Jul-2023

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