• #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:Text generation

Exploiting Language Model for Efficient Linguistic Steganalysis: An Empirical Study

Exploiting Language Model for Efficient Linguistic Steganalysis: An Empirical Study Biao Yi, Hanzhou Wu∗, Guorui Feng and Xinpeng ZhangShanghai University, Shanghai 200444,……

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……

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image Junyeop Lee1∗{junyeop.lee, Yoonsik Kim2∗{junyeop.lee, Seonghyeon Kim2{junyeop……

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation

To Ship or Not to Ship:An Extensive Evaluation of Automatic Metrics for Machine Translation /minibox[c]TomKocmi   /minibox[c]ChristianFedermann   /minibox[c]Ro……

WikiGraphs: A Wikipedia Text – Knowledge Graph Paired Dataset

WikiGraphs: A Wikipedia Text – Knowledge Graph Paired Dataset Luyu Wang*  Yujia Li*  Ozlem Aslan  Oriol Vinyals*Equal contributionDeepMind, Lon……

Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features

Increasing Faithfulness in Knowledge-Grounded Dialogue with C++ontrollable Features Hannah Rashkin      David Reitter      Gaurav Singh To……

CatVRNN: Generating Category Texts via Multi-task Learning

C++atVRNN: Generating Category Texts via Multi-task Learning Pengsen ChengCorresponding Author:School of Cyber Science and Engineering, Sichuan UniversityJiayong LiuSchool of Cybe……

From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text

From Machine Translation to Code-Switching:Generating High-Quality Code-Switched Text Ishan Tarunesh, Syamantak Kumar1, Preethi JyothiSamsung Korea, Google India, IIT Bombay{isha……

From Show to Tell: A Survey on Image Captioning

From Show to Tell:A Survey on Image Captioning Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli,Giuseppe Fiameni, and Rita ……

Tailor: Generating and Perturbing Text with Semantic Controls

Tailor: Generating and Perturbing Text with Semantic Controls Alexis Ross∗†  Tongshuang Wu∗♢  Hao Peng♢  Matthew E. Peters&da……