Maarten Sap

Maarten Sap

I'm a PhD student at the University of Washington advised by Noah Smith and Yejin Choi, interested in natural language processing (NLP) for social understanding. Specifically, I want to understand how NLP can help us understand human behavior, and how we can endow NLP systems with social intelligence, social commonsense, or theory of mind.
In the past, I've interned at AI2 on project Mosaic working on social commonsense for artificial intelligence systems, and at Microsoft Research working on long-term memory and storytelling with Eric Horvitz.


Social IQa

We create a large-scale benchmark for social commonsense reasoning that is challenging for modern NLP models.

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Racial Bias in Toxic Language Detection

We quantify racial bias in hate speech datasets and algorithms, and study how this bias arises in annotations.

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Introducing a knowledge graph for machine commonsense covering if-then inferential knowledge aroung everyday situations.

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We create a model and knowledge graph that enables commonsense inference on intents and reactions in relation to events.

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Social Commonsense in Short Stories

We create a new annotation framework of simple commonsense stories enabling reasoning about the mental states of its characters.

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Sounding Board

Winner of the 2017 Alexa Prize to further conversational AI, our approach is user-centric and content-driven.

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Power & Agency in movies

We create connotation frames of power and agency and use them to analyze gender bias in movies.

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