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Language technology practitioners as language managers: arbitrating data
  bias and predictive bias in ASR

Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR

25 February 2022
Nina Markl
S. McNulty
ArXiv (abs)PDFHTML

Papers citing "Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR"

18 / 18 papers shown
Title
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning
  Research
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch
Emily L. Denton
A. Hanna
J. Foster
113
150
0
03 Dec 2021
AI and the Everything in the Whole Wide World Benchmark
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily L. Denton
A. Hanna
89
314
0
26 Nov 2021
Towards Measuring Fairness in AI: the Casual Conversations Dataset
Towards Measuring Fairness in AI: the Casual Conversations Dataset
C. Hazirbas
Joanna Bitton
Brian Dolhansky
Jacqueline Pan
Albert Gordo
Cristian Canton Ferrer
EGVM
91
93
0
06 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding?
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman
George E. Dahl
ELMALM
68
164
0
05 Apr 2021
Data and its (dis)contents: A survey of dataset development and use in
  machine learning research
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada
Inioluwa Deborah Raji
Emily M. Bender
Emily L. Denton
A. Hanna
129
529
0
09 Dec 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic
  Data Procurement in the Pursuit of Fairness
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
Mckane Andrus
Elena Spitzer
Jeffrey Brown
Alice Xiang
82
132
0
30 Oct 2020
WER we are and WER we think we are
WER we are and WER we think we are
Piotr Szymañski
Piotr Żelasko
Mikolaj Morzy
Adrian Szymczak
Marzena Zyla-Hoppe
Joanna Banaszczak
Lukasz Augustyniak
Jan Mizgajski
Yishay Carmiel
66
46
0
07 Oct 2020
Targeting the Benchmark: On Methodology in Current Natural Language
  Processing Research
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research
David Schlangen
64
58
0
07 Jul 2020
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
Vineel Pratap
Anuroop Sriram
Paden Tomasello
Awni Y. Hannun
Vitaliy Liptchinsky
Gabriel Synnaeve
R. Collobert
79
143
0
06 Jul 2020
Black-box Adaptation of ASR for Accented Speech
Black-box Adaptation of ASR for Accented Speech
Kartik Khandelwal
Preethi Jyothi
Abhijeet Awasthi
Sunita Sarawagi
35
10
0
24 Jun 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Su Lin Blodgett
Solon Barocas
Hal Daumé
Hanna M. Wallach
159
1,257
0
28 May 2020
The State and Fate of Linguistic Diversity and Inclusion in the NLP
  World
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
Pratik M. Joshi
Sebastin Santy
A. Budhiraja
Kalika Bali
Monojit Choudhury
LMTD
138
857
0
20 Apr 2020
Language Technology Programme for Icelandic 2019-2023
Language Technology Programme for Icelandic 2019-2023
Anna Björk Nikulásdóttir
Jón Guðnason
A. Ingason
H. Loftsson
Eiríkur Rögnvaldsson
E. Sigurðsson
Steinþór Steingrímsson
27
32
0
20 Mar 2020
Predictive Biases in Natural Language Processing Models: A Conceptual
  Framework and Overview
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Santosh Shah
H. Andrew Schwartz
Dirk Hovy
AI4CE
114
260
0
09 Nov 2019
Automatic Speech Recognition Services: Deaf and Hard-of-Hearing
  Usability
Automatic Speech Recognition Services: Deaf and Hard-of-Hearing Usability
Abraham Glasser
30
27
0
03 Sep 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan
Solon Barocas
Jon M. Kleinberg
K. Levy
MLAUFaML
92
531
0
21 Jun 2019
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
Chung-Cheng Chiu
Tara N. Sainath
Yonghui Wu
Rohit Prabhavalkar
Patrick Nguyen
...
Katya Gonina
Navdeep Jaitly
Yue Liu
J. Chorowski
M. Bacchiani
AI4TS
120
1,154
0
05 Dec 2017
The Microsoft 2017 Conversational Speech Recognition System
The Microsoft 2017 Conversational Speech Recognition System
Wayne Xiong
Lingfeng Wu
F. Alleva
J. Droppo
Xuedong Huang
A. Stolcke
83
466
0
21 Aug 2017
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