Published on April 19, 2017 by Microsoft Research

Building AI systems that can process user input, understand it, and generate an engaging and contextually-relevant output in response, has been one of the longest-running goals in AI. Humans use a variety of modalities, such as language and visual cues, to communicate. A major trigger to our meaningful communications are “events” and how they cause/enable future events. In this talk, I will describe my research about modeling human-machine communications around events, with a major focus on commonsense reasoning, world knowledge, and context modeling. I will mainly focus on my ongoing work on context modeling in three different modalities: narrative context for collaborative story generation, visual context for question generation on an eventful image, visual and textual contexts for image-grounded conversations.

See more on this video at www.microsoft.com/en-us/research/video/modeling-context-eventful-human-machine-communications/

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3 Comments on "Modeling Context in Eventful Human-Machine Communications"

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Soumen Madan
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Soumen Madan
3 months 5 days ago

Why don't you upload at a higher resolution? Does google charge you for that?

DJEB
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DJEB
3 months 2 days ago

it's a real problem with this channel. A lot of interesting videos are at low res.

NavjotGraphicDesign
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NavjotGraphicDesign
3 months 5 days ago

hotttie thotttie

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