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21
A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
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22
Automatic Error Type Annotation for Arabic ...
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23
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
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24
An Information-Theoretic Characterization of Morphological Fusion ...
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25
Cross-document Event Identity via Dense Annotation ...
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26
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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27
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ...
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28
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
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
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29
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
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30
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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31
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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32
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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33
Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
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34
Detecting Gender Bias using Explainability ...
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35
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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36
Blindness to Modality Helps Entailment Graph Mining ...
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37
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation ...
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38
Characterizing Test Anxiety on Social Media ...
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39
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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40
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings ...
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