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Papers

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How Can Self-Attention Networks Recognize Dyck-n Languages?
Javid Ebrahimi, Dhruv Gelda, Wei Zhang
2020 EMNLP
How Decoding Strategies Affect the Verifiability of Generated Text
Luca Massarelli, Fabio Petroni, Aleksandra Piktus et al.
2020 EMNLP
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz et al.
2020 EMNLP
How does BERT capture semantics? A closer look at polysemous words
David Yenicelik, Florian Schmidt, Yannic Kilcher
2020 EMNLP
How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization
Jian Liu, Yubo Chen, Kang Liu et al.
2020 EMNLP
How does discourse affect Spanish-Chinese Translation? A case study based on a Spanish-Chinese parallel corpus
Shuyuan Cao
2020 EMNLP
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Shayne Longpre, Yu Wang, Chris DuBois
2020 EMNLP
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study
Meghana Moorthy Bhat, Srinivasan Parthasarathy
2020 EMNLP
How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging Tasks
Samuel Louvan, Bernardo Magnini
2020 EMNLP
Howl: A Deployed, Open-Source Wake Word Detection System
Raphael Tang, Jaejun Lee, Afsaneh Razi et al.
2020 EMNLP
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts, Colin Raffel, Noam Shazeer
2020 EMNLP
How Should Markup Tags Be Translated?
Greg Hanneman, Georgiana Dinu
2020 EMNLP
How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue
Henry Elder, Alexander O’Connor, Jennifer Foster
2020 EMNLP
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation
Steffen Eger, Johannes Daxenberger, Iryna Gurevych
2020 EMNLP
How well does surprisal explain N400 amplitude under different experimental conditions?
James A. Michaelov, Benjamin K. Bergen
2020 EMNLP
How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset
Sungrim (Riea) Moon, Jungwei Fan
2020 EMNLP
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification
Wenshuo Yang, Jiyi Li, Fumiyo Fukumoto et al.
2020 EMNLP
Huawei’s Submissions to the WMT20 Biomedical Translation Task
Wei Peng, Jianfeng Liu, Minghan Wang et al.
2020 EMNLP
HUJI-KU at MRP 2020: Two Transition-based Neural Parsers
Ofir Arviv, Ruixiang Cui, Daniel Hershcovich
2020 EMNLP
Human-centric dialog training via offline reinforcement learning
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun et al.
2020 EMNLP
HUMAN: Hierarchical Universal Modular ANnotator
Moritz Wolf, Dana Ruiter, Ashwin Geet D’Sa et al.
2020 EMNLP
Human-Paraphrased References Improve Neural Machine Translation
Markus Freitag, George Foster, David Grangier et al.
2020 EMNLP
HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language
Anna Koufakou, Endang Wahyu Pamungkas, Valerio Basile et al.
2020 EMNLP
HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task
Hao Yang, Minghan Wang, Daimeng Wei et al.
2020 EMNLP
HW-TSC’s Participation at WMT 2020 Quality Estimation Shared Task
Minghan Wang, Hao Yang, Hengchao Shang et al.
2020 EMNLP