• #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:representation learning

Language Models as Zero-shot Visual Semantic Learner

Language Models as Zero-shot Visual Semantic Learner Yue JiaoUniversity of SouthamptonSouthampton, UK   Jonathon HareUniversity of SouthamptonSouthampton, UK  &emsp……

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……

Language Grounding with 3D Objects

Language Grounding with 3D Objects Jesse ThomasonUniversity of Southern California &Mohit Shridhar∗University of Washington/ANDYonatan BiskCarnegie Mellon University &……

Remember What You have drawn: Semantic Image Manipulation with Memory

Remember What You have drawn: Semantic Image Manipulation with Memory Xiangxi ShiElectrical Engineering and Computer ScienceOregon state university, Zhonghua WuSchool of Comp……

Federated Learning Meets Natural Language Processing: A Survey

Federated Learning Meets Natural Language Processing: A Survey Ming LiuDeakin University   Stella HoDeakin University   Mengqi WangDeakin University &emsp……

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……

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs Nicolas Sonnerat*, Pengming Wang*, Ira Ktena, Sergey Bartunov, Vinod Nair Abstract Large Neighborhood ……

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 &……

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……

LARGE: Latent-Based Regression through GAN Semantics

LARGE: Latent-Based Regression through GAN Semantics Yotam NitzanTel-Aviv University&Rinon Gal*Tel-Aviv University&Ofir BrennerTel-Aviv University&Daniel Cohen-OrTel-A……