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otherentity ID: fairness

Related Papers

Finding the Middle Ground - A Model for Planning Satisficing Answers

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

To establish sophisticated dialogue sys- tems, text planning needs to cope with congruent as well as incongruent inter- locutor interests as given in everyday di- alogues. Little attention has been …...

40528

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe ability to control for the kinds of information encoded in neural representation has a variety of use cases, especially in light of the challenge of interpreting these models. We …...

37323

Constructing a Psychometric Testbed for Fair Natural Language Processing

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractPsychometric 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 …...

31798

Measuring Fairness of Text Classifiers via Prediction Sensitivity

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWith the rapid growth in language processing applications, fairness has emerged as an important consideration in data-driven solutions. Although various fairness definitions have been explored in the recent literature, there …...

38981

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractLanguage models (LMs) are pretrained on diverse data sources—news, discussion forums, books, online encyclopedias. A significant portion of this data includes facts and opinions which, on one hand, celebrate democracy …...

37978

Learning to Generate Equitable Text in Dialogue from Biased Training Data

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThe ingrained principles of fairness in a dialogue system’s decision-making process and generated responses are crucial for user engagement, satisfaction, and task achievement. Absence of equitable and inclusive principles can …...

38694

LEXPLAIN: Improving Model Explanations via Lexicon Supervision

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractModel explanations that shed light on the model’s predictions are becoming a desired additional output of NLP models, alongside their predictions. Challenges in creating these explanations include making them trustworthy …...

26418