RLIG: 📢 Linkage Seminar Series - Thursday April 21

RLIG

📢 Linkage Seminar Series - Thursday April 21

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.

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.

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}
}