Contact the workshop organizers for immediate assistance in case you didn't receive an e-mail from Underline.
PatentSemTech aims to establish a long-term collaboration and a two-way communication channel between the IP industry and academia from relevant fields such as natural-language processing (NLP), text and data mining (TDM) and semantic technologies (ST) in order to explore and transfer new knowledge, methods and technologies for the benefit of industrial applications as well as support research in applied sciences for the IP and neighbouring domains.
PatentSemTech'21 workshop will be held as a full-day online event in conjunction with SIGIR 2021.
6/16 - Updated Workshop Schedule is available here
6/16 - The information of workshop registration is available here
6/11 - The Preliminary Workshop Schedule is available here
6/11 - The list of accepted papers is available here
From the definition of a search task perspective, users of patent information systems are highly specialised information professionals, who cooperate with research and/or legal departments in their institutions / companies. The search in this area is generally business critical. There are high requirements on the correctness and completeness of the data to search through, on the efficiency of the search interface, and on the trustworthiness of the provider, on the quality of the search results. For general language documents (like news articles, or Wikipedia articles) there is a variety of tools and methods to process and prepare them for a specific task. It is a most challenging undertaking to adapt or re-design such tools to address the requirements of working with patent and legal documents.
Patent are a type of scientific text which is complex and difficult to analyse compared to the common language. Without being complete, some reasons are:
Working with patent data, besides its challenging aspects, does bring a richness of facets to be exploited with text-mining and semantic methods:
PatentSemTech’21 workshop will be held as a full-day online event in conjunction with SIGIR 2021.
To keep up to date with the news about this workshop and new data collection releases you can subscribe to the following mailing list: patentsemtech-info @ list.tuwien.ac.at
Prof. Noriko Kando Ph.D (Library and Information Science)
National Institute of Informatics (NII)
Prof. Osmat Jefferson PhD MInt Law
Queensland University of Technology (QUT)
Director of Product Development, Cambia
"Artificial Intelligence and Patent Analysis: Friends or Foes?"
BETTEN & RESCH