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Predictive Biases in Natural Language Processing Models: A Conceptual
  Framework and Overview

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview

9 November 2019
Deven Santosh Shah
H. A. Schwartz
Dirk Hovy
    AI4CE
ArXivPDFHTML

Papers citing "Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview"

4 / 54 papers shown
Title
Conservative AI and social inequality: Conceptualizing alternatives to
  bias through social theory
Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory
Mike Zajko
10
37
0
16 Jul 2020
We Need to Talk About Random Splits
We Need to Talk About Random Splits
Anders Søgaard
Sebastian Ebert
Jasmijn Bastings
Katja Filippova
34
97
0
01 May 2020
Mind Your Inflections! Improving NLP for Non-Standard Englishes with
  Base-Inflection Encoding
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding
Samson Tan
Shafiq R. Joty
L. Varshney
Min-Yen Kan
17
34
0
30 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner
Yoav Artzi
Victoria Basmova
Jonathan Berant
Ben Bogin
...
Sanjay Subramanian
Reut Tsarfaty
Eric Wallace
Ally Zhang
Ben Zhou
ELM
35
84
0
06 Apr 2020
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