• #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:AAAI

AAVAE: Augmentation-Augmented Variational Autoencoders

AAVAE: Augmentation-Augmented Variational Autoencoders William Falcon 1,2&Ananya Harsh Jha 1*&Teddy Koker 1&Kyunghyun Cho 2,31 Grid AI Labs2 New York University3 CIFAR……

Transfer Learning in Electronic Health Records through Clinical Concept Embedding

Transfer Learning in Electronic Health Records through C++linical Concept Embedding Jose Roberto Ayala Solares   Yajie Zhu   Abdelaali Hassaine   Shi……

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……

The social dilemma in AI development and why we have to solve it

The social dilemma in AI development and why we have to solve it Inga StrümkeInga Strümke Department of Engineering Cybernetics, NTNU, Trondheim, NorwayDepartment o……

Transcript to Video: Efficient Clip Sequencing from Texts

Transcript to Video: Efficient C++lip Sequencing from Texts Yu Xiong1  Fabian Caba Heilbron2  Dahua Lin11The Chinese University of Hong Kong  2Adobe Research &……

The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts

The Holy Grail of Multi-Robot Planning:Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts Amanda Prorok       Jan Blumenkamp&low……

Contextual Transformer Networks for Visual Recognition

C++ontextual Transformer Networks for Visual Recognition Yehao Li, Ting Yao, Yingwei Pan, and Tao MeiJD AI Research, Beijing, China{yehaoli.sysu, tingyao.ustc, , Abstract Tran……

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro A. Tsividis,1,3∗ João Loula,1 Jake Burga,1Nathan Foss1, Andres Camp……

Modelling Latent Translations for Cross-Lingual Transfer

Modelling Latent Translations for C++ross-Lingual Transfer Edoardo Maria Ponti1,2    Julia Kreutzer3    Ivan Vulić4   &……

Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision

Bridging the Gap between Language Model and Reading C++omprehension: Unsupervised MRC via Self-Supervision Ning Bian1,2, Xianpei Han2, Bo Chen2, Hongyu Lin2, Ben He1,2, Le Sun21Sc……