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Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122

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Manage episode 278828855 series 2526207
Content provided by Sanyam Bhutani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanyam Bhutani 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://staging.podcastplayer.com/legal.

Video Version: https://youtu.be/2MT7bYZsiV4

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Ekaterina Kochmar: Lecturer and Researcher at Cambridge University, Co-Founder & CSO at Korbit.ai

As you might know, Sanyam is a fan of learning to learn - The topic in general, they bring back the conversation in this episode. Ekaterina has been working on automated language teaching and assessment, which is using machine learning or different tools to augment teaching as an intelligent tutor to build intelligent systems for teaching different concepts for language, specifically English language, and even beyond.

They have a deeper dive into this conversation discuss:

- What does building a system like this take?

- What research goes into it?

- What are the interesting trends here?

They also dive into Katrina's approach of research, and what does a research pipeline for her look like.

Links:

https://www.manning.com/books/getting-started-with-natural-language-processing

Follow:

Ekaterina Kochmar:

https://www.linkedin.com/in/ekaterina-kochmar-0a655b14/

https://www.cl.cam.ac.uk/~ek358/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

  continue reading

149 episodes

Artwork
iconShare
 
Manage episode 278828855 series 2526207
Content provided by Sanyam Bhutani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanyam Bhutani 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://staging.podcastplayer.com/legal.

Video Version: https://youtu.be/2MT7bYZsiV4

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Ekaterina Kochmar: Lecturer and Researcher at Cambridge University, Co-Founder & CSO at Korbit.ai

As you might know, Sanyam is a fan of learning to learn - The topic in general, they bring back the conversation in this episode. Ekaterina has been working on automated language teaching and assessment, which is using machine learning or different tools to augment teaching as an intelligent tutor to build intelligent systems for teaching different concepts for language, specifically English language, and even beyond.

They have a deeper dive into this conversation discuss:

- What does building a system like this take?

- What research goes into it?

- What are the interesting trends here?

They also dive into Katrina's approach of research, and what does a research pipeline for her look like.

Links:

https://www.manning.com/books/getting-started-with-natural-language-processing

Follow:

Ekaterina Kochmar:

https://www.linkedin.com/in/ekaterina-kochmar-0a655b14/

https://www.cl.cam.ac.uk/~ek358/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

  continue reading

149 episodes

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