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USPTO Symposium on Entity Resolution

Symposium logo in banner format with AIR and USPTO logos

During the virtual symposium on entity resolution practices and applications, the United States Patent and Trademark Office and The American Institutes for Research looked to bring together computer scientists, information scientists, economists and others to discuss the state-of-the-art approaches to and current applications of entity resolution, particularly focusing on applications to patents. The symposium reviewed methods and applications with the following goals. 

  • To provide an overview of current approaches from leading scholars in the field.
  • To build knowledge, identify a community of practitioners, and facilitate the application of common approaches. 

Organization

The symposium was structured as three half-day sessions during the week of March 22nd, 2021.
Each session included expert speakers and a panel conversation.

The introduction for the symposium was given by Chief Economist Andrew (Andy) Toole on behalf of the United States Patent and Trademark Office.

Monday, March 22 | 9:00 am to 12:30 pm EST
Speaker Organization Relevant Links Presentation Slides
Rebecca Steorts Duke University, Department of Statistical Science

(Almost) All of Entity Resolution

d-blink: Distributed End-to-End Bayesian Entity Resolution

Presentation Slides

Video Presentation Link

Greg Morrison University of Houston, Department of Physics  

Presentation Slides

Video Presentation Link

Nicholas Monath University of Massachusetts Amherst, Computer Science

Scalable Hierarchical Clustering with Tree Grafting

Disambiguating Patent Inventors, Assignees, and their Locations in PatentsView

Presentation Slides

Video Presentation Link

Osmat Azzam Jefferson The Lens, Cambia

www.lens.org 

The Lens MetaRecord and LensID: An open identifier system for aggregated metadata and versioning of knowledge artefacts

Mapping innovation trajectories on SARS-CoV-2 and its variants

Presentation Slides

Video Presentation Link

Panel Conversation Video Presentation Link

 

Wednesday, March 24 | 9:00 am to 12:30 pm EST
Speaker Organization Relevant Links Presentation Slides
Donatella Firmani Roma Tre University, Engineering Department - Computer Science and Automation Modern Approaches to Entity Resolution

Presentation Slides

Video Presentation Link

Bunyamin Sisman Amazon.com, Inc.

Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

Presentation Slides

Video Presentation Link

Deyun Yin Harbin Institute of Technology, Shenzhen & World Intellectual Property Organization (WIPO)

A Brief Survey of Automatic Methods for Author Name Disambiguation

Large-Scale Name Disambiguation

Disambiguation and Co-Authorship Networks 

Presentation Slides

Video Presentation Link

Julie Callaert KU Leuven, ECOOM - Centre for Research and Development Monitoring

Harmonizing Harmonized Patentee Names: An exploratory assessment of top patentees 

Data production methods for harmonized patent statistics: Patentee name harmonization

Presentation Slides

Video Presentation Link

Panel Conversation Video Presentation Link

 

Friday, March 26 | 9:00 am to 11:30 am EST
Speaker Organization Relevant Links Presentation Slides
Hélène Dernis and Mariagrazia Squicciarini Directorate for Science, Technology, and Industry, Organization for Economic Cooperation and Development (OECD)

OECD work on IP statistics

World Corporate Top R&D Investors: Shaping the future of technologies and of AI

Presentation Slides

Video Presentation Link

Thorsten Doherr Centre for European Economic Research (ZEW)

Disambiguation by Namesake Risk Assessment

The Search Engine

Presentation Slides

Video Presentation Link

Matthew Ross Claremont Graduate University, Economic Sciences Department and Computational Justice Lab  

Presentation Slides

Video Presentation Link

Panel Conversation Video Presentation Link

 

The symposium agenda is linked here for a layout of the event.