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Hits 1 – 3 of 3
1
Spurious Correlations in Cross-Topic Argument Mining ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Barrett, Maria
;
Søgaard, Anders
. - : Underline Science Inc., 2021
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2
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias ...
Gonzalez, Ana Valeria
;
Barrett, Maria
;
Hvingelby, Rasmus
;
Webster, Kellie
;
Søgaard, Anders
. - : arXiv, 2020
Abstract:
The one-sided focus on English in previous studies of gender bias in NLP misses out on opportunities in other languages: English challenge datasets such as GAP and WinoGender highlight model preferences that are "hallucinatory", e.g., disambiguating gender-ambiguous occurrences of 'doctor' as male doctors. We show that for languages with type B reflexivization, e.g., Swedish and Russian, we can construct multi-task challenge datasets for detecting gender bias that lead to unambiguously wrong model predictions: In these languages, the direct translation of 'the doctor removed his mask' is not ambiguous between a coreferential reading and a disjoint reading. Instead, the coreferential reading requires a non-gendered pronoun, and the gendered, possessive pronouns are anti-reflexive. We present a multilingual, multi-task challenge dataset, which spans four languages and four NLP tasks and focuses only on this phenomenon. We find evidence for gender bias across all task-language combinations and correlate model ... : To appear in EMNLP 2020 ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
;
Machine Learning cs.LG
URL:
https://dx.doi.org/10.48550/arxiv.2009.11982
https://arxiv.org/abs/2009.11982
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3
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations ...
Abdou, Mostafa
;
Ravishankar, Vinit
;
Barrett, Maria
. - : arXiv, 2020
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