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 Jingbo Shang

Jingbo Shang

Unsupervised Deep Keyphrase Generation


Apr 18, 2021
Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang

Figure 1 for Unsupervised Deep Keyphrase Generation
Figure 2 for Unsupervised Deep Keyphrase Generation
Figure 3 for Unsupervised Deep Keyphrase Generation
Figure 4 for Unsupervised Deep Keyphrase Generation

  Access Paper or Ask Questions

News Meets Microblog: Hashtag Annotation via Retriever-Generator


Apr 18, 2021
Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang

Figure 1 for News Meets Microblog: Hashtag Annotation via Retriever-Generator
Figure 2 for News Meets Microblog: Hashtag Annotation via Retriever-Generator
Figure 3 for News Meets Microblog: Hashtag Annotation via Retriever-Generator
Figure 4 for News Meets Microblog: Hashtag Annotation via Retriever-Generator

  Access Paper or Ask Questions

"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models


Apr 18, 2021
Zihan Wang, Chengyu Dong, Jingbo Shang

Figure 1 for "Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
Figure 2 for "Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
Figure 3 for "Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models
Figure 4 for "Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models

  Access Paper or Ask Questions

Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks


Feb 23, 2021
Xinyang Zhang, Chenwei Zhang, Luna Xin Dong, Jingbo Shang, Jiawei Han

Figure 1 for Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Figure 2 for Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Figure 3 for Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Figure 4 for Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
* WWW'21 
  Access Paper or Ask Questions

Data Profiling for Adversarial Training: On the Ruin of Problematic Data


Feb 15, 2021
Chengyu Dong, Liyuan Liu, Jingbo Shang

Figure 1 for Data Profiling for Adversarial Training: On the Ruin of Problematic Data
Figure 2 for Data Profiling for Adversarial Training: On the Ruin of Problematic Data
Figure 3 for Data Profiling for Adversarial Training: On the Ruin of Problematic Data
Figure 4 for Data Profiling for Adversarial Training: On the Ruin of Problematic Data

  Access Paper or Ask Questions

Sensei: Self-Supervised Sensor Name Segmentation


Jan 01, 2021
Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang

Figure 1 for Sensei: Self-Supervised Sensor Name Segmentation
Figure 2 for Sensei: Self-Supervised Sensor Name Segmentation
Figure 3 for Sensei: Self-Supervised Sensor Name Segmentation
Figure 4 for Sensei: Self-Supervised Sensor Name Segmentation

  Access Paper or Ask Questions

X-Class: Text Classification with Extremely Weak Supervision


Oct 24, 2020
Zihan Wang, Dheeraj Mekala, Jingbo Shang

Figure 1 for X-Class: Text Classification with Extremely Weak Supervision
Figure 2 for X-Class: Text Classification with Extremely Weak Supervision
Figure 3 for X-Class: Text Classification with Extremely Weak Supervision
Figure 4 for X-Class: Text Classification with Extremely Weak Supervision

  Access Paper or Ask Questions

Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training


Oct 15, 2020
Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang

Figure 1 for Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Figure 2 for Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Figure 3 for Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Figure 4 for Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
* Work in Progress 
  Access Paper or Ask Questions

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery


Sep 29, 2020
Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han

Figure 1 for SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
Figure 2 for SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
Figure 3 for SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
Figure 4 for SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
* EMNLP 2020 
  Access Paper or Ask Questions

User-Guided Aspect Classification for Domain-Specific Texts


Apr 30, 2020
Peiran Li, Fang Guo, Jingbo Shang

Figure 1 for User-Guided Aspect Classification for Domain-Specific Texts
Figure 2 for User-Guided Aspect Classification for Domain-Specific Texts
Figure 3 for User-Guided Aspect Classification for Domain-Specific Texts
Figure 4 for User-Guided Aspect Classification for Domain-Specific Texts

  Access Paper or Ask Questions

Empower Entity Set Expansion via Language Model Probing


Apr 29, 2020
Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han

Figure 1 for Empower Entity Set Expansion via Language Model Probing
Figure 2 for Empower Entity Set Expansion via Language Model Probing
Figure 3 for Empower Entity Set Expansion via Language Model Probing
Figure 4 for Empower Entity Set Expansion via Language Model Probing
* ACL 2020 
  Access Paper or Ask Questions

FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams


Oct 22, 2019
Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han

Figure 1 for FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
Figure 2 for FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
Figure 3 for FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
Figure 4 for FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams

  Access Paper or Ask Questions

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble


Oct 17, 2019
Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han

Figure 1 for SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble
Figure 2 for SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble
Figure 3 for SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble
Figure 4 for SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble
* ECMLPKDD 2017 accepted 
  Access Paper or Ask Questions

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations


Sep 03, 2019
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han

Figure 1 for CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Figure 2 for CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Figure 3 for CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Figure 4 for CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

  Access Paper or Ask Questions

Raw-to-End Name Entity Recognition in Social Media


Aug 14, 2019
Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han

Figure 1 for Raw-to-End Name Entity Recognition in Social Media
Figure 2 for Raw-to-End Name Entity Recognition in Social Media
Figure 3 for Raw-to-End Name Entity Recognition in Social Media
Figure 4 for Raw-to-End Name Entity Recognition in Social Media

  Access Paper or Ask Questions

Integrating Local Context and Global Cohesiveness for Open Information Extraction


Nov 04, 2018
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han

Figure 1 for Integrating Local Context and Global Cohesiveness for Open Information Extraction
Figure 2 for Integrating Local Context and Global Cohesiveness for Open Information Extraction
Figure 3 for Integrating Local Context and Global Cohesiveness for Open Information Extraction
Figure 4 for Integrating Local Context and Global Cohesiveness for Open Information Extraction
* 8 pages + 1 page reference. Accepted to WSDM 2019 
  Access Paper or Ask Questions

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning


Oct 08, 2018
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, Jiawei Han

Figure 1 for Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Figure 2 for Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Figure 3 for Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Figure 4 for Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
* 7 pages, 4 figures 
  Access Paper or Ask Questions

Learning Named Entity Tagger using Domain-Specific Dictionary


Sep 10, 2018
Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han

Figure 1 for Learning Named Entity Tagger using Domain-Specific Dictionary
Figure 2 for Learning Named Entity Tagger using Domain-Specific Dictionary
Figure 3 for Learning Named Entity Tagger using Domain-Specific Dictionary
Figure 4 for Learning Named Entity Tagger using Domain-Specific Dictionary

  Access Paper or Ask Questions

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling


Sep 10, 2018
Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han

Figure 1 for Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Figure 2 for Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Figure 3 for Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Figure 4 for Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
* EMNLP 2018 
  Access Paper or Ask Questions

Empower Sequence Labeling with Task-Aware Neural Language Model


Nov 23, 2017
Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han

Figure 1 for Empower Sequence Labeling with Task-Aware Neural Language Model
Figure 2 for Empower Sequence Labeling with Task-Aware Neural Language Model
Figure 3 for Empower Sequence Labeling with Task-Aware Neural Language Model
Figure 4 for Empower Sequence Labeling with Task-Aware Neural Language Model
* AAAI 2018 
  Access Paper or Ask Questions

An Attention-based Collaboration Framework for Multi-View Network Representation Learning


Sep 19, 2017
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han

Figure 1 for An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Figure 2 for An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Figure 3 for An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Figure 4 for An Attention-based Collaboration Framework for Multi-View Network Representation Learning
* CIKM 2017 
  Access Paper or Ask Questions

MetaPAD: Meta Pattern Discovery from Massive Text Corpora


Mar 14, 2017
Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han

Figure 1 for MetaPAD: Meta Pattern Discovery from Massive Text Corpora
Figure 2 for MetaPAD: Meta Pattern Discovery from Massive Text Corpora
Figure 3 for MetaPAD: Meta Pattern Discovery from Massive Text Corpora
Figure 4 for MetaPAD: Meta Pattern Discovery from Massive Text Corpora
* 9 pages 
  Access Paper or Ask Questions

Automated Phrase Mining from Massive Text Corpora


Mar 11, 2017
Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss, Jiawei Han

Figure 1 for Automated Phrase Mining from Massive Text Corpora
Figure 2 for Automated Phrase Mining from Massive Text Corpora
Figure 3 for Automated Phrase Mining from Massive Text Corpora
Figure 4 for Automated Phrase Mining from Massive Text Corpora

  Access Paper or Ask Questions

DPPred: An Effective Prediction Framework with Concise Discriminative Patterns


Oct 31, 2016
Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han

Figure 1 for DPPred: An Effective Prediction Framework with Concise Discriminative Patterns
Figure 2 for DPPred: An Effective Prediction Framework with Concise Discriminative Patterns
Figure 3 for DPPred: An Effective Prediction Framework with Concise Discriminative Patterns
Figure 4 for DPPred: An Effective Prediction Framework with Concise Discriminative Patterns

  Access Paper or Ask Questions

Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks


Oct 31, 2016
Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng

Figure 1 for Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
Figure 2 for Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
Figure 3 for Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
Figure 4 for Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks

  Access Paper or Ask Questions

A Parallel and Efficient Algorithm for Learning to Match


Oct 22, 2014
Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu

Figure 1 for A Parallel and Efficient Algorithm for Learning to Match
Figure 2 for A Parallel and Efficient Algorithm for Learning to Match
Figure 3 for A Parallel and Efficient Algorithm for Learning to Match
Figure 4 for A Parallel and Efficient Algorithm for Learning to Match
* 10 pages, short version was published in ICDM 2014 
  Access Paper or Ask Questions