• #ACL2021NLP #ACL2021 Please check our group’s recent publication at the main conference of @aclmeeting. We uncovered a compositional generalization problem existing in NMT models and contributed a new dataset. Contributed by Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang.

  • Prof Yue Zhang leads the #NLP lab at Westlake University @Westlake_Uni. Our group focuses on machine learning-based natural language processing, as well as application-oriented tasks, such as web information extraction and financial market prediction. Welcome to join us!

  • #NLProc #ACL2021 G-Transformer for Document-level Machine Translation Paper:arxiv.org/abs/2105.14761 Code:github.com/baoguangsheng/ Our @aclmeeting paper at the main conference introduces locality bias to fix the failure of Transformer training on document-level MT data.

标签:application

Thought Flow Nets: From Single Predictions To Trains Of Model Thought

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Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

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CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

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Federated Learning Meets Natural Language Processing: A Survey

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QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

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Transfer Learning in Electronic Health Records through Clinical Concept Embedding

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Persistent Reinforcement Learning via Subgoal Curricula

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Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation

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MWP-BERT: A Strong Baseline for Math Word Problems

MWP-BERT: A Strong Baseline for Math Word Problems Zhenwen Liang1, Jipeng Zhang2, Jie Shao3, Xiangliang Zhang 1,∗1 King Abdullah University of Science and Technology (KAUST……

Long-Term Series Forecasting With Query Selector – Efficient Model of Sparse Attention

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