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Home > This Week in Machine Learning & Artificial Intelligence (AI) Podcast > Contextual Modeling for Language and Vision with Nasrin Mostafazadeh - TWiML Talk #174
Podcast: This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Episode:

Contextual Modeling for Language and Vision with Nasrin Mostafazadeh - TWiML Talk #174
Category: Technology
Duration: 00:49:12
Publish Date: 2018-08-20 14:59:02
Description:

Today we’re joined by Nasrin Mostafazadeh, Senior AI Research Scientist at New York-based Elemental Cognition.

Our conversation focuses on Nasrin’s work in event-centric contextual modeling in language and vision, which she sees as a means of giving AI systems a bit of “common sense.” We discuss Nasrin’s work on the Story Cloze Test, which is a reasoning framework for evaluating story understanding and generation. We explore the details of this task--including what constitutes a “story”--and some of the challenges it presents and approaches for solving it. We also discuss how you model what a computer understands, building semantic representation algorithms, different ways to approach “explainability,” and multimodal extensions to her contextual modeling work.

The notes for this episode can be found at https://twimlai.com/talk/174.
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