Roundtable discussion: Beyond language models: Knowledge, multiple modalities, and more

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Microsoft Research
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Published on ● Video Link: https://www.youtube.com/watch?v=QhpjGWkAZDM


Duration: 10:57
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Speakers:
Yonatan Bisk, Assistant Professor, Carnegie Mellon University
Daniel McDuff, Principal Researcher, Microsoft Research Redmond
Dragomir Radev, A. Bartlett Giamatti Professor of Computer Science, Yale University

In this roundtable discussion, we will discuss the current state-of-the-art in language models (LMs) and how the lack of external and commonsense knowledge is a limiting factor in several applications, including open domain question answering. This additional information or knowledge could come from structured databases, knowledge graphs, images or other modalities, and we will cover some novel approaches for incorporating this data. Our discussion will cover modeling, but also the available datasets that can help to drive advances in this domain.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit



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Tags:
deep learning
large-scale models
large-scale AI models
AI
artificial intelligence
microsoft research summit