06/13/21: Modeling Content and Context with Deep Relational Learning with Maria Leonor Pacheco episode artwork

EPISODE · Jun 13, 2021 · 55 MIN

06/13/21: Modeling Content and Context with Deep Relational Learning with Maria Leonor Pacheco

from Boston Computation Club · host Max von Hippel

Maria is a PhD student in Computer Science at Purdue University, where she works with Dr. Dan Goldwasser on neural-symbolic methods to model natural language discourse, among other things.  Today she presented her recent project DRaiL, "an open-source declarative framework for specifying deep relational models, designed to support a variety of NLP scenarios."   [ Paper ] [ Maria ][ Code ][ Video ][ Boston Computation Club ]

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06/13/21: Modeling Content and Context with Deep Relational Learning with Maria Leonor Pacheco

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This episode is 55 minutes long.

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This episode was published on June 13, 2021.

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Maria is a PhD student in Computer Science at Purdue University, where she works with Dr. Dan Goldwasser on neural-symbolic methods to model natural language discourse, among other things.  Today she presented her recent project DRaiL, "an...

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