Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning.

B. Zhang, X. Pan, T. Wang, A. Vaswani, H. Ji, K. Knight, and D. Marcu. HLT-NAACL, page 249-259. The Association for Computational Linguistics, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yi Wang University of Stuttgart

Yao Wang University of Stuttgart

Other publications of authors with the same name

Adversarial Removal of Gender from Deep Image Representations.T. Wang, J. Zhao, M. Yatskar, K. Chang, and V. Ordonez. CoRR, (2018)Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.J. Zhao, T. Wang, M. Yatskar, V. Ordonez, and K. Chang. NAACL-HLT (2), page 15-20. Association for Computational Linguistics, (2018)A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer.Z. Ren, T. Wang, W. Hu, and M. Sitti. Robotics: Science and Systems, (2019)What Aspects Do Non-Functional Requirements in App User Reviews Describe? An Exploratory and Comparative Study.T. Wang, P. Liang, and M. Lu. APSEC, page 494-503. IEEE, (2018)Cholesteric Liquid Crystal Polymeric Coatings for Colorful Artificial Muscles and Motile Humidity Sensor Skin Integrated with Magnetic CompositesW. Feng, A. Pal, T. Wang, Z. Ren, Y. Yan, Y. Lu, H. Yang, and M. Sitti. Advanced Functional Materials, (February 2023)Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning.B. Zhang, X. Pan, T. Wang, A. Vaswani, H. Ji, K. Knight, and D. Marcu. HLT-NAACL, page 249-259. The Association for Computational Linguistics, (2016)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.J. Zhao, T. Wang, M. Yatskar, V. Ordonez, and K. Chang. EMNLP, page 2979-2989. Association for Computational Linguistics, (2017)Visual News: Benchmark and Challenges in News Image Captioning.F. Liu, Y. Wang, T. Wang, and V. Ordonez. EMNLP (1), page 6761-6771. Association for Computational Linguistics, (2021)Gender Bias in Contextualized Word Embeddings.J. Zhao, T. Wang, M. Yatskar, R. Cotterell, V. Ordonez, and K. Chang. NAACL-HLT (1), page 629-634. Association for Computational Linguistics, (2019)Feedback-prop: Convolutional Neural Network Inference under Partial Evidence.T. Wang, K. Yamaguchi, and V. Ordonez. CoRR, (2017)