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Hits 61 – 80 of 830

61
How to Train BERT with an Academic Budget ...
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62
Improving Span Representation for Domain-adapted Coreference Resolution ...
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63
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media ...
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64
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ...
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65
Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy ...
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66
MRF-Chat: Improving Dialogue with Markov Random Fields ...
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67
Exploring Metaphoric Paraphrase Generation ...
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68
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ...
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69
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech ...
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70
HypMix: Hyperbolic Interpolative Data Augmentation ...
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71
STaCK: Sentence Ordering with Temporal Commonsense Knowledge ...
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72
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ...
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73
Weakly supervised discourse segmentation for multiparty oral conversations ...
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74
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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75
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding ...
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76
Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation ...
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77
STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media ...
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78
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation ...
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79
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis ...
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80
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes ...
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