I'm a PhD candidate in the LUNAR (Language Understanding and Representation) lab at Brown University advised by Ellie Pavlick.

I work on grounded language representations: getting computers to understand language in the context of the world, like people do. My most recent work is on the New Brown Corpus dataset, a grounded virtual reality dataset inspired by childhood language acquisition.

I'm more broadly interested in NLP, AI, HCI, CogSci, and game/web development. My past projects include using grounded representations to study theories of concepts, virtual reality for language learning, and deep learning-driven interfaces.

Contact: dylan_ebert@brown.edu



A Visuospatial Dataset for Naturalistic Verb Learning

Dylan Ebert, Ellie Pavlick

*SEM 2020


Using Grounded Word Representations to Study Theories of Lexical Concepts

Dylan Ebert, Ellie Pavlick

CMCL Workshop (NAACL) 2019


Cognilearn: A Deep Learning-based Interface for Cognitive Behavior Assessment

Srujana Gattupalli, Dylan Ebert, Michalis Papakostas, Fillia Makedon, Vassilis Athitsos

IUI 2017

Won Best Student Paper Award


Ogma: A Virtual Reality Language Acquisition System

Dylan Ebert, Sanika Gupta, Fillia Makedon

PETRA 2016