You are invited

MDI and the ASA Record Linkage Interest Group’s Linkage Seminar
Series:
AI and duplicate detection to leverage external data
sources
Thursday, April 21, 2022
1 PM ET
Register
Here
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.
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.
Footnotes
Citation
For attribution, please cite this work as
RLIG (2022, April 19). RLIG: 📢 Linkage Seminar Series - Thursday April 21. Retrieved from https://recordlinkageig.github.io/posts/2022-04-19-linkage-seminar-series-thursday-april-21/
BibTeX citation
@misc{rlig2022📢,
author = {RLIG, },
title = {RLIG: 📢 Linkage Seminar Series - Thursday April 21},
url = {https://recordlinkageig.github.io/posts/2022-04-19-linkage-seminar-series-thursday-april-21/},
year = {2022}
}