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Kendall Smith

2 accepted papers

2022

Benchmarking Intersectional Biases in NLP

NAACL 2022long

There has been a recent wave of work assessing the fairness of machine learning models in general, and more specifically, on natural language processing (NLP) models built using machine learning techniques. While much work has highlighted biases embedded in state-of-the-art language models, and more…

2021

Constructing a Psychometric Testbed for Fair Natural Language Processing

EMNLP 2021main

Psychometric measures of ability, attitudes, perceptions, and beliefs are crucial for understanding user behavior in various contexts including health, security, e-commerce, and finance. Traditionally, psychometric dimensions have been measured and collected using survey-based methods. Inferring suc…