Computationally Modelling The Shape of Stories: A Research Program

Computationally Modelling The Shape of Stories: A Research Program

I’ll be giving a keynote address to the 4th Workshop on Narrative Understanding at this year‘s NAACL conference. I’m pasting in the abstract below. The motivation behind the talk is that there has been a lot of interesting work over the years exploring how to 

Why? Capturing causal reasoning in narrative

Why? Capturing causal reasoning in narrative

One of the principal reasons we tell stories is to explain why something happened. A story consists of the recounting of a series of events. The causes of those events are often attached to different agents, either more or less explicitly. Narrative is a powerful 

Detecting narrativity across long time scales

Detecting narrativity across long time scales

Our lab has a new article out that will be appearing in the Computational Humanities Research Conference Proceedings (CHR 2021). In this project, we develop computational methods for measuring the degree of narrativity in over 335,000 text passages distributed across two- to three-hundred years of 

Narrative Theory for Computational Narrative Understanding

Narrative Theory for Computational Narrative Understanding

I have a new piece out with co-authors David Bamman and Richard Jean So in the forthcoming proceedings of the Empirical Methods in Natural Language Processing (EMNLP) conference. Our goal in the paper is to provide NLP researchers with a clear theoretical framework to computationally