activity
20102022
most citedImproving fairness in machine learning systems: What do industry practitioners need?

758 citations · 1.8k across the 31 of their papers we have counts for

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7 papers · 1 filter

cs.CL2020

Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Su Lin Blodgett, Solon Barocas, Hal Daumé +1

We survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyz…

cs.CL2020

On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs

Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin +2

We use large-scale corpora in six different gendered languages, along with tools from NLP and information theory, to test whether there is a relationship between the grammatical ge…

cs.CL2019

Quantifying the Semantic Core of Gender Systems

Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin +2

Many of the world's languages employ grammatical gender on the lexeme. For example, in Spanish, the word for 'house' (casa) is feminine, whereas the word for 'paper' (papel) is mas…

cs.CL2019

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling

Alexander Hoyle, Wolf-Sonkin, Hanna Wallach +2

Studying the ways in which language is gendered has long been an area of interest in sociolinguistics. Studies have explored, for example, the speech of male and female characters…

cs.CL2019★ 10 cited

Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach +1

Gender stereotypes are manifest in most of the world's languages and are consequently propagated or amplified by NLP systems. Although research has focused on mitigating gender ste…

cs.CL2019★ 5 cited

Combining Sentiment Lexica with a Multi-View Variational Autoencoder

Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach +2

When assigning quantitative labels to a dataset, different methodologies may rely on different scales. In particular, when assigning polarities to words in a sentiment lexicon, ann…

cs.CL2016★ 6 cited

The Social Dynamics of Language Change in Online Networks

Rahul Goel, Sandeep Soni, Naman Goyal +4

Language change is a complex social phenomenon, revealing pathways of communication and sociocultural influence. But, while language change has long been a topic of study in sociol…