Fwd: 📢 April Linkage Seminar: AI and duplicate detection to leverage external data sources

[Olivier Binette]

Hi everyone,

I'm forwarding the invite for this Thursday's record linkage seminar (see below). Hope to see you there!

Best,

Olivier

P.S. Remember to check out our blog at https://recordlinkageig.github.io/. We're looking for contributors -- please email me at olivier...@gmail.com if interested :)

Also remember to edit your email preferences in the google group if needed.

---------- Forwarded message ---------
De : Massive Data Institute <mdire...@georgetown.edu>
Date: mar. 19 avr. 2022, à 15 h 01
Subject: 📢 April Linkage Seminar: AI and duplicate detection to leverage external data sources
To: <olivier...@gmail.com>

You are invited to  MDI and the ASA Record Linkage Interest Group's Linkage Seminar Series: AI and duplicate detection to leverage external data sources April 21, 2022 1:00 PM ET Zoom Webinar David Beauchemin will discuss how duplicate detection can be used with AI and NLP techniques to extract information from external data sources using text distance metrics (e.g. Jaro) and classification algorithms. He will use a case study in insurance to demonstrate the proposed approach. This seminar will be recorded and resources will be posted online after the event. Guest Speaker: David Beauchemin David Beauchemin: An actuary by training, David decided to continue his studies at the master's level in computer science to become familiar with machine learning. His master's degree in natural language processing (NLP) focused on external source extraction in an insurance business process. He is now pursuing his studies at the Ph.D. level, where he is interested in personalizing automatically generated content from insurance contracts. Register Here About the Linkage Seminar Series: The Massive Data Institute at Georgetown University's McCourt School of Public Policy co-hosts monthly Linkage Seminars with the American Statistical Association's Record Linkage Interest Group. These monthly seminars feature interdisciplinary data experts discussing their work on data linkages across data types, sectors, domains, and disciplines.  Don't forget to follow us: Did a friend forward this to you? Subscribe to our email list and receive this directly in your inbox! Copyright © 2022 Massive Data Institute, All rights reserved. You are receiving this email because you opted in via our website. Our mailing address is: Massive Data Institute 500 1st St NW Washington, District of Columbia 20001 Add us to your address book Want to change how you receive these emails? You can update your preferences or unsubscribe from this list.