92 - Computational Humanities, with David Bamman

In this episode, we invite David Bamman to give an overview of
computational humanities. We discuss examples of questions studied
in computational humanities (e.g., characterizing fictionality,
assessing novelty, measuring the attention given to male vs. female
characters in the literature). We talk about the role NLP plays in
addressing these questions and how the accuracy and biases of NLP
models can influence the results. We also discuss understudied NLP
tasks which can help us answer more questions in this domain such
as literary scene coreference resolution and constructing a map of
literature geography. David Bamman's homepage:
http://people.ischool.berkeley.edu/~dbamman/ LitBank dataset:
https://github.com/dbamman/litbank