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Linda Andersson on AI Powered Semantic Search - Episode #5
Manage episode 317397177 series 2984858
Content provided by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode, Seth and Chris talk with Linda Andersson, Founder & CEO of Artificial Researcher about AI powered semantic search.
Highlights:
5:00 - Linda's journey to her work
14:20 - Domain knowledge and ontologies
17:07 - Knowledge extraction
20:05 - Why we need ontologies
20:50 - Bias and not knowing what you don't know
25:40 - Structuring and curating the knowledge base
30:00 - Supervised vs semi-supervised models
38:15 - What is Academia missing
43:30 - Getting the right start for AI projects
Links
Information about Artificial Researcher
Demo pages for index and the ontologies generated by the Artificial Researcher Data pipeline solution:
Contact Linda:
Thanks to our sponsors:
Earley Information Science
CMSWire
Marketing AI Institute
Thanks to our sponsors:
48 episodes
Share
Manage episode 317397177 series 2984858
Content provided by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode, Seth and Chris talk with Linda Andersson, Founder & CEO of Artificial Researcher about AI powered semantic search.
Highlights:
5:00 - Linda's journey to her work
14:20 - Domain knowledge and ontologies
17:07 - Knowledge extraction
20:05 - Why we need ontologies
20:50 - Bias and not knowing what you don't know
25:40 - Structuring and curating the knowledge base
30:00 - Supervised vs semi-supervised models
38:15 - What is Academia missing
43:30 - Getting the right start for AI projects
Links
Information about Artificial Researcher
Demo pages for index and the ontologies generated by the Artificial Researcher Data pipeline solution:
Contact Linda:
Thanks to our sponsors:
Earley Information Science
CMSWire
Marketing AI Institute
Thanks to our sponsors:
48 episodes
All episodes
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Similar to Earley AI Podcast
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