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1
A Latent-Variable Model for Intrinsic Probing ...
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A Neighbourhood Framework for Resource-Lean Content Flagging ...
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3
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives ...
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4
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension ...
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5
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models ...
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6
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training ...
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7
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? ...
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CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding ...
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9
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? ...
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10
Is Sparse Attention more Interpretable? ...
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11
Is Sparse Attention more Interpretable? ...
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12
Quantifying Gender Biases Towards Politicians on Reddit ...
Abstract: Despite attempts to increase gender parity in politics, global efforts have struggled to ensure equal female representation. This is likely tied to implicit gender biases against women in authority. In this work, we present a comprehensive study of gender biases that appear in online political discussion. To this end, we collect 10 million comments on Reddit in conversations about male and female politicians, which enables an exhaustive study of automatic gender bias detection. We address not only misogynistic language, but also benevolent sexism in the form of seemingly positive attitudes examining both sentiment and dominance attributed to female politicians. Finally, we conduct a multi-faceted study of gender bias towards politicians investigating both linguistic and extra-linguistic cues. We assess 5 different types of gender bias, evaluating coverage, combinatorial, nominal, sentimental and lexical biases extant in social media language and discourse. Overall, we find that, contrary to previous ...
Keyword: Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2112.12014
https://arxiv.org/abs/2112.12014
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13
A Survey on Gender Bias in Natural Language Processing ...
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14
Semi-Supervised Exaggeration Detection of Health Science Press Releases ...
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15
Inducing Language-Agnostic Multilingual Representations ...
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16
Zero-Shot Cross-Lingual Transfer with Meta Learning ...
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17
SIGTYP 2020 Shared Task: Prediction of Typological Features ...
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18
Generating Fact Checking Explanations ...
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19
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension ...
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20
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP ...
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