254 citations · 262 across the 8 of their papers we have counts for
9 papers
A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion
Brendan O'Connor, Simon Dixon
Previous research has shown that established techniques for spoken voice conversion (VC) do not perform as well when applied to singing voice conversion (SVC). We propose an altern…
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution
Ankita Gupta, Marzena Karpinska, Wenlong Zhao +5
Large-scale, high-quality corpora are critical for advancing research in coreference resolution. However, existing datasets vary in their definition of coreferences and have been c…
Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties
Tessa Masis, Anissa Neal, Lisa Green +1
The study of language variation examines how language varies between and within different groups of speakers, shedding light on how we use language to construct identities and how…
Zero-shot Singing Technique Conversion
Brendan O'Connor, Simon Dixon, George Fazekas
In this paper we propose modifications to the neural network framework, AutoVC for the task of singing technique conversion. This includes utilising a pretrained singing technique…
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence
Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar +1
Automated event extraction in social science applications often requires corpus-level evaluations: for example, aggregating text predictions across metadata and unbiased estimates…
Analyzing Gender Bias within Narrative Tropes
Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner +2
Popular media reflects and reinforces societal biases through the use of tropes, which are narrative elements, such as archetypal characters and plot arcs, that occur frequently ac…
Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty
Katherine A. Keith, Christoph Teichmann, Brendan O'Connor +1
Methods and applications are inextricably linked in science, and in particular in the domain of text-as-data. In this paper, we examine one such text-as-data application, an establ…
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Katherine A. Keith, David Jensen, Brendan O'Connor
Many applications of computational social science aim to infer causal conclusions from non-experimental data. Such observational data often contains confounders, variables that inf…
Diffusion of Lexical Change in Social Media
Jacob Eisenstein, Brendan O'Connor, Noah A. Smith +1
Computer-mediated communication is driving fundamental changes in the nature of written language. We investigate these changes by statistical analysis of a dataset comprising 107 m…