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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
Ahmad, Wasi Uddin. - : eScholarship, University of California, 2021
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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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5
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 ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.251/ Abstract: Recent studies have shown that deep neural network-based models are vulnerable to intentionally crafted adversarial examples, and various methods have been proposed to defend against adversarial word-substitution attacks for neural NLP models. However, there is a lack of systematic study on comparing different defense approaches under the same attacking setting. In this paper, we seek to fill the gap through comprehensive studies on the behavior of neural text classifiers trained with various defense methods against representative adversarial attacks. In addition, we propose an effective method to further improve the robustness of neural text classifiers against such attacks, and achieved the highest accuracy on both clean and adversarial examples on AGNEWS and IMDB datasets, outperforming existing methods by a significant margin. We hope this study could provide useful clues for future research on text adversarial defense. Codes ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Neural Network
URL: https://dx.doi.org/10.48448/tmch-e809
https://underline.io/lecture/38025-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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9
Intent Classification and Slot Filling for Privacy Policies ...
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10
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning ...
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11
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ...
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12
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ...
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13
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training ...
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14
Syntax-augmented Multilingual BERT for Cross-lingual Transfer ...
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15
Syntax-augmented Multilingual BERT for Cross-lingual Transfer ...
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16
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation ...
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17
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition ...
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18
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ...
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19
On the Robustness of Language Encoders against Grammatical Errors ...
Yin, Fan; Long, Quanyu; Meng, Tao. - : arXiv, 2020
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GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction ...
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