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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...43 Hits 1 – 20 of 860 1 On Homophony and Rényi Entropy ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cotterell, Ryan; Meister, Clara. - : Underline Science Inc., 2021 BASE Show details 2 Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Beguš, Gašper. - : Underline Science Inc., 2021 BASE Show details 3 Signed Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Yin, Kayo. - : Underline Science Inc., 2021 BASE Show details 4 Backtranslation in Neural Morphological Inflection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hulden, Mans; Liu, Ling. - : Underline Science Inc., 2021 BASE Show details 5 Rule-based Morphological Inflection Improves Neural Terminology Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Carpuat, Marine; Xu, Weijia. - : Underline Science Inc., 2021 BASE Show details 6 Translating Headers of Tabular Data: A Pilot Study of Schema Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gao, Yan; Guo, Jiaqi. - : Underline Science Inc., 2021 BASE Show details 7 A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jonathan; Ivanova, Sardana. - : Underline Science Inc., 2021 BASE Show details 8 Automatic Error Type Annotation for Arabic ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belkebir, Riadh; Habash, Nizar. - : Underline Science Inc., 2021 BASE Show details 9 Developing Conversational Data and Detection of Conversational Humor in Telugu ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Pétur O.; Jónsson, Haukur P.. - : Underline Science Inc., 2021 BASE Show details 10 An Information-Theoretic Characterization of Morphological Fusion ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Futrell, Richard; Hahn, Michael. - : Underline Science Inc., 2021 BASE Show details 11 Cross-document Event Identity via Dense Annotation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hasegawa, Kimihiro; Li, Linwei. - : Underline Science Inc., 2021 BASE Show details 12 Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yuanzhi; Hasan, Mohammad. - : Underline Science Inc., 2021 BASE Show details 13 (Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shugars, Sarah. - : Underline Science Inc., 2021 BASE Show details 14 Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zuo, Simiao. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.527/ Abstract: Adversarial regularization has been shown to improve the generalization performance of deep learning models in various natural language processing tasks. Existing works usually formulate the method as a zero-sum game, which is solved by alternating gradient descent/ascent algorithms. Such a formulation treats the adversarial and the defending players equally, which is undesirable because only the defending player contributes to the generalization performance. To address this issue, we propose Stackelberg Adversarial Regularization (SALT), which formulates adversarial regularization as a Stackelberg game. This formulation induces a competition between a leader and a follower, where the follower generates perturbations, and the leader trains the model subject to the perturbations. Different from conventional approaches, in SALT, the leader is in an advantageous position. When the leader moves, it recognizes the strategy of the ... Keyword: Computational Linguistics; Deep Learning; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Natural Language Understanding URL: https://dx.doi.org/10.48448/yvpq-xs21 https://underline.io/lecture/37710-adversarial-regularization-as-stackelberg-game-an-unrolled-optimization-approach BASE Hide details 15 Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Markus; Liu, Can. - : Underline Science Inc., 2021 BASE Show details 16 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Jiawei; Huang, Jiaxin. - : Underline Science Inc., 2021 BASE Show details 17 Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zou, Yicheng. - : Underline Science Inc., 2021 BASE Show details 18 HittER: Hierarchical Transformers for Knowledge Graph Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Sanxing; Gao, Jianfeng. - : Underline Science Inc., 2021 BASE Show details 19 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 20 Detecting Gender Bias using Explainability ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Krithika; Gupta, Gauri. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5...43

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