The Data Exchange Podcast: Amy Heineike on deploying language technologies to a wide range of domains.
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In this episode of the Data Exchange I speak with Amy Heineike, Principal Product Architect at Primer.ai, a startup building machines that can read and write. Primer recently used their technology to build COVID-19 Primer, a web site that provides an overview of the latest research papers, media coverage, and social media conversations pertaining to COVID-19.
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Our conversation focused on a range of topics including:
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- COVID19Primer
- Building a startup and products focused on natural language technologies
- Automatic text summarization
- Entity extraction and entity resolution
You can view a video version of this conversation on our YouTube channel.
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Related content:
- My Twitter thread on Amy Heineike’s recent keynote at the Spark+AI Summit.
- Matthew Honnibal: “Building open source developer tools for language applications”
- David Talby: “Building domain specific natural language applications”
- Evan Sparks: “An open source platform for training deep learning models”
- Dafna Shahaf: “Computational humanness, analogy and innovation, and soft concepts”
- Morten Dahl: “The state of privacy-preserving machine learning”
- Robert Munro: “Human-in-the-loop machine learning”
- Solmaz Shahalizadeh: “Business at the speed of AI: Lessons from Shopify”
[Image by Victor Perez from Pixabay]