Tom Lippincott (JHU) “Computational Intelligence for the Humanities”

When:
February 24, 2020 @ 12:00 pm – 1:15 pm
2020-02-24T12:00:00-05:00
2020-02-24T13:15:00-05:00
Where:
Hackerman Hall B17
3400 N. Charles Street
Baltimore
MD 21218
Cost:
Free

Abstract

A recurring task at the intersection of humanities and computational research is pairing data collected by a traditional scholar with an appropriate machine learning technique, ideally in a form that creates minimal burden on the scholar while yielding relevant, interpretable insights.

In this talk, I describe initial efforts to design a graph-aware autoencoding model of relational data that can be directly applied to a broad range of humanities research, and easily extended with improved neural (sub)architectures.  I then present results from an ongoing historical study of the post-Atlantic slave trade in Baltimore, illustrating several ways it can benefit traditional scholars. Finally, I briefly introduce a few additional historical and literary-critical studies, currently under-way in the Krieger school, that I hope to consider under the same framework in the coming year.

 

Center for Language and Speech Processing