activity
20132026
most citedLearning to Groove with Inverse Sequence Transformations

40 citations · 113 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Measuring Gender Representation in Animated Films

David Bamman, Allison Cooper, Ruby Alvarez Rubio +2

Animated films--often developed with an audience of children in mind--are an important vector for enculturation, and empirical work that has examined the representation of gender a…

cs.CL2021★ 4 cited

Characterizing English Variation across Social Media Communities with BERT

Li Lucy, David Bamman

Much previous work characterizing language variation across Internet social groups has focused on the types of words used by these groups. We extend this type of study by employing…

cs.CL2020★ 28 cited

Latin BERT: A Contextual Language Model for Classical Philology

David Bamman, Patrick J. Burns

We present Latin BERT, a contextual language model for the Latin language, trained on 642.7 million words from a variety of sources spanning the Classical era to the 21st century.…

cs.CL2020

Measuring Information Propagation in Literary Social Networks

Matthew Sims, David Bamman

We present the task of modeling information propagation in literature, in which we seek to identify pieces of information passing from character A to character B to character C, on…

cs.HC2019★ 1 cited

Breaking Speech Recognizers to Imagine Lyrics

Jon Gillick, David Bamman

We introduce a new method for generating text, and in particular song lyrics, based on the speech-like acoustic qualities of a given audio file. We repurpose a vocal source separat…

cs.CL2019★ 13 cited

An Annotated Dataset of Coreference in English Literature

David Bamman, Olivia Lewke, Anya Mansoor

We present in this work a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction. This data…