Search Results for author: Isabel Cachola

Found 6 papers, 4 papers with code

Model Distillation for Faithful Explanations of Medical Code Predictions

no code implementations BioNLP (ACL) 2022 Zach Wood-Doughty, Isabel Cachola, Mark Dredze

We propose to use knowledge distillation, or training a student model that mimics the behavior of a trained teacher model, as a technique to generate faithful and plausible explanations.

Decision Making Knowledge Distillation

Faithful and Plausible Explanations of Medical Code Predictions

1 code implementation16 Apr 2021 Zach Wood-Doughty, Isabel Cachola, Mark Dredze

Machine learning models that offer excellent predictive performance often lack the interpretability necessary to support integrated human machine decision-making.

Decision Making

Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions

no code implementations EMNLP 2018 Eric Holgate, Isabel Cachola, Daniel Preo{\c{t}}iuc-Pietro, Junyi Jessy Li

Vulgar words are employed in language use for several different functions, ranging from expressing aggression to signaling group identity or the informality of the communication.

Hate Speech Detection

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