Maria Antoniak is a Young Investigator at the Allen Institute for AI. Her research is in natural language processing (NLP) and cultural analytics, and her interests include using computational methods to study stories, values, and healthcare, often in the setting of online communities, and in measuring the reliability of NLP tools when used for curated datasets and human-focused research questions. She earned her PhD in Information Science from Cornell University, has a master’s degree in Computational Linguistics from the University of Washington, and has been recognized as a “Rising Star” in both computer science and data science.

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AG Audience

English

60 Minutes

Kaiserslautern

People use storytelling to persuade, to entertain, to inform, and to make sense of their experiences as a community—and as a form of self-disclosure, personal storytelling can strengthen social bonds, build trust, and support the storyteller’s health. But computational analysis of narratives faces challenges, including difficulty in defining stories, lack of annotated datasets, and need to generalize across diverse settings. In this talk, I’ll present work addressing these challenges that uses methods from natural language processing (NLP) to measure storytelling both across online communities and within specific social contexts. This work has implications for NLP methods for story detection, the literary field of narratology, cooperative work in online communities, and better healthcare support. As one part of my research in NLP and cultural analytics, it also highlights how NLP methods can be used creatively and reliably to study human experiences.

Lena Schneider

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