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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...29 Hits 1 – 20 of 572 1 Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guellil, Imane. - : Underline Science Inc., 2021 BASE Show details 2 Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kumbale, Sinchana; Singh, Smriti. - : Underline Science Inc., 2021 BASE Show details 3 One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ... 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; Damonte, Marco; Monti, Emilio. - : Underline Science Inc., 2021 BASE Show details 4 STaCK: Sentence Ordering with Temporal Commonsense Knowledge ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ghosal, Deepanway; Majumder, Navonil. - : Underline Science Inc., 2021 BASE Show details 5 Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chang, Kai-Wei; Hsieh, Cho-Jui; Li, Zongyi; Li, Linyang; Xu, Jianhan; Zeng, Jiehang; Zhang, Qi; Zheng, Xiaoqing. - : Underline Science Inc., 2021 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 BASE Hide details 6 Graphine: A Dataset for Graph-aware Terminology Definition Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gu, Yiyang; Liu, Zequn. - : Underline Science Inc., 2021 BASE Show details 7 End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Eger, Steffen. - : Underline Science Inc., 2021 BASE Show details 8 To what extent do human explanations of model behavior align with actual model behavior? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Prasad, Grusha. - : Underline Science Inc., 2021 BASE Show details 9 Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lehmann, Jens; Su, Fenglong. - : Underline Science Inc., 2021 BASE Show details 10 What’s Hidden in a One-layer Randomly Weighted Transformer? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shen, Sheng; Yao, Zhewei. - : Underline Science Inc., 2021 BASE Show details 11 Finetuning Pretrained Transformers into RNNs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Weizhu; Ilharco, Gabriel. - : Underline Science Inc., 2021 BASE Show details 12 Comparing Span Extraction Methods for Semantic Role Labeling ... 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; Zhang, Zhisong. - : Underline Science Inc., 2021 BASE Show details 13 Sometimes We Want Ungrammatical Translations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Parthasarathi, Prasanna. - : Underline Science Inc., 2021 BASE Show details 14 Pruning Neural Machine Translation for Speed Using Group Lasso ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Behnke, Maximiliana; Heafield, Kenneth. - : Underline Science Inc., 2021 BASE Show details 15 Elementary-Level Math Word Problem Generation using Pre-Trained Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Savindu; Athapaththu, Dineth. - : Underline Science Inc., 2021 BASE Show details 16 Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Schuff, Hendrik. - : Underline Science Inc., 2021 BASE Show details 17 The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ahia, Orevaoghene; Hooker, Sara. - : Underline Science Inc., 2021 BASE Show details 18 Knowledge Graph Representation Learning using Ordinary Differential Equations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hoffmann, Franca; Lehmann, Jens. - : Underline Science Inc., 2021 BASE Show details 19 What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Adam; Asthana, Kalyani. - : Underline Science Inc., 2021 BASE Show details 20 Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Akula, Arjun; Gella, Spandana. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5...29

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