Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Dejiao Zhang

Dejiao Zhang

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition


Mar 04, 2022
Andy T. Liu, Wei Xiao, Henghui Zhu, Dejiao Zhang, Shang-Wen Li, Andrew Arnold

Figure 1 for QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition
Figure 2 for QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition
Figure 3 for QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition
Figure 4 for QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition
* 8 pages, 6 figures 
  Access Paper or Ask Questions

Virtual Augmentation Supported Contrastive Learning of Sentence Representations


Oct 16, 2021
Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold

Figure 1 for Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Figure 2 for Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Figure 3 for Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Figure 4 for Virtual Augmentation Supported Contrastive Learning of Sentence Representations
* 8 pages, 3 figures, 3 tables 
  Access Paper or Ask Questions

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora


Oct 16, 2021
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren

Figure 1 for Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Figure 2 for Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Figure 3 for Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Figure 4 for Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
* 8 pages 
  Access Paper or Ask Questions

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey


Oct 16, 2021
Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew Arnold

Figure 1 for Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Figure 2 for Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Figure 3 for Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey

  Access Paper or Ask Questions

Pairwise Supervised Contrastive Learning of Sentence Representations


Sep 12, 2021
Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Figure 1 for Pairwise Supervised Contrastive Learning of Sentence Representations
Figure 2 for Pairwise Supervised Contrastive Learning of Sentence Representations
Figure 3 for Pairwise Supervised Contrastive Learning of Sentence Representations
Figure 4 for Pairwise Supervised Contrastive Learning of Sentence Representations
* 9 pages, EMNLP 2021 
  Access Paper or Ask Questions

Improving Factual Consistency of Abstractive Summarization via Question Answering


May 10, 2021
Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang

Figure 1 for Improving Factual Consistency of Abstractive Summarization via Question Answering
Figure 2 for Improving Factual Consistency of Abstractive Summarization via Question Answering
Figure 3 for Improving Factual Consistency of Abstractive Summarization via Question Answering
Figure 4 for Improving Factual Consistency of Abstractive Summarization via Question Answering
* ACL-IJCNLP 2021 
  Access Paper or Ask Questions

Supporting Clustering with Contrastive Learning


Mar 24, 2021
Dejiao Zhang, Feng Nan, Xiaokai Wei, Shangwen Li, Henghui Zhu, Kathleen McKeown, Ramesh Nallapati, Andrew Arnold, Bing Xiang

Figure 1 for Supporting Clustering with Contrastive Learning
Figure 2 for Supporting Clustering with Contrastive Learning
Figure 3 for Supporting Clustering with Contrastive Learning
Figure 4 for Supporting Clustering with Contrastive Learning
* NAACL 2021 
  Access Paper or Ask Questions

Entity-level Factual Consistency of Abstractive Text Summarization


Feb 18, 2021
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, Bing Xiang

Figure 1 for Entity-level Factual Consistency of Abstractive Text Summarization
Figure 2 for Entity-level Factual Consistency of Abstractive Text Summarization
Figure 3 for Entity-level Factual Consistency of Abstractive Text Summarization
Figure 4 for Entity-level Factual Consistency of Abstractive Text Summarization
* EACL 2021 
  Access Paper or Ask Questions

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction


Nov 26, 2020
Yifan Gao, Henghui Zhu, Patrick Ng, Cicero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Figure 1 for Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
Figure 2 for Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
Figure 3 for Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
Figure 4 for Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction

  Access Paper or Ask Questions

Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data


Jul 17, 2018
Dejiao Zhang, Laura Balzano

Figure 1 for Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Figure 2 for Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Figure 3 for Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
* 38 pages, 8 figures 
  Access Paper or Ask Questions

Deep Unsupervised Clustering Using Mixture of Autoencoders


Dec 26, 2017
Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano

Figure 1 for Deep Unsupervised Clustering Using Mixture of Autoencoders
Figure 2 for Deep Unsupervised Clustering Using Mixture of Autoencoders
Figure 3 for Deep Unsupervised Clustering Using Mixture of Autoencoders
Figure 4 for Deep Unsupervised Clustering Using Mixture of Autoencoders
* 8 pages, 7 figures 
  Access Paper or Ask Questions

Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation


Jun 25, 2016
Dejiao Zhang, Laura Balzano

Figure 1 for Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
Figure 2 for Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
Figure 3 for Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
* 23 pages, 10 figures 
  Access Paper or Ask Questions

Iterative Grassmannian Optimization for Robust Image Alignment


Jun 20, 2013
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao

Figure 1 for Iterative Grassmannian Optimization for Robust Image Alignment
Figure 2 for Iterative Grassmannian Optimization for Robust Image Alignment
Figure 3 for Iterative Grassmannian Optimization for Robust Image Alignment
Figure 4 for Iterative Grassmannian Optimization for Robust Image Alignment
* Image and Vision Computing, 32(10), 800-813, 2014 
 * Preprint submitted to the special issue of the Image and Vision Computing Journal on the theme "The Best of Face and Gesture 2013" 
  Access Paper or Ask Questions