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Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction ...
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Cross-lingual Representation Learning for Natural Language Processing
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Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ...
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Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training ...
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Societal Biases in Language Generation: Progress and Challenges ...
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Socially Aware Bias Measurements for Hindi Language Representations ...
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Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution ...
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Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification ...
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Abstract:
Read paper: https://www.aclanthology.org/2021.findings-acl.294 Abstract: Existing bias mitigation methods to reduce disparities in model outcomes across cohorts have focused on data augmentation, debiasing model embeddings, or adding fairness-based optimization objectives during training. Separately, certified word substitution robustness methods have been developed to decrease the impact of spurious features and synonym substitutions on model predictions. While their end goals are different, they both aim to encourage models to make the same prediction for certain changes in the input. In this paper, we investigate the utility of certified word substitution robustness methods to improve equality of odds and equality of opportunity on multiple text classification tasks. We observe that certified robustness methods improve fairness, and using both robustness and bias mitigation methods in training results in an improvement in both fronts. ...
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URL: https://underline.io/lecture/26385-does-robustness-improve-fairnessquestion-approaching-fairness-with-word-substitution-robustness-methods-for-text-classification https://dx.doi.org/10.48448/mnwq-2y60
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Intent Classification and Slot Filling for Privacy Policies ...
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Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning ...
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Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ...
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Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ...
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Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training ...
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Syntax-augmented Multilingual BERT for Cross-lingual Transfer ...
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Syntax-augmented Multilingual BERT for Cross-lingual Transfer ...
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BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation ...
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"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition ...
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Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ...
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On the Robustness of Language Encoders against Grammatical Errors ...
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GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction ...
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