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 Wenpeng Yin

Wenpeng Yin

Learning to Synthesize Data for Semantic Parsing


Apr 27, 2021
Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong

Figure 1 for Learning to Synthesize Data for Semantic Parsing
Figure 2 for Learning to Synthesize Data for Semantic Parsing
Figure 3 for Learning to Synthesize Data for Semantic Parsing
Figure 4 for Learning to Synthesize Data for Semantic Parsing
* NAACL 2021 short paper, fixed citation issue 
  Access Paper or Ask Questions

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System


Apr 24, 2021
Congying Xia, Wenpeng Yin, Yihao Feng, Philip Yu

Figure 1 for Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Figure 2 for Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Figure 3 for Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Figure 4 for Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
* 10 pages, accepted to NAACL 2021 
  Access Paper or Ask Questions

Paired Representation Learning for Event and Entity Coreference


Oct 24, 2020
Xiaodong Yu, Wenpeng Yin, Dan Roth

Figure 1 for Paired Representation Learning for Event and Entity Coreference
Figure 2 for Paired Representation Learning for Event and Entity Coreference
Figure 3 for Paired Representation Learning for Event and Entity Coreference
Figure 4 for Paired Representation Learning for Event and Entity Coreference
* 9 pages, 2 figures 
  Access Paper or Ask Questions

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start


Oct 06, 2020
Wenpeng Yin, Nazneen Fatema Rajani, Dragomir Radev, Richard Socher, Caiming Xiong

Figure 1 for Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
Figure 2 for Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
Figure 3 for Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
Figure 4 for Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
* EMNLP2020 Long, camera-ready 
  Access Paper or Ask Questions

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks


Oct 05, 2020
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He

Figure 1 for Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
Figure 2 for Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
Figure 3 for Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
Figure 4 for Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
* Accepted by COLING 2020 
  Access Paper or Ask Questions

Meta-learning for Few-shot Natural Language Processing: A Survey


Jul 19, 2020
Wenpeng Yin

Figure 1 for Meta-learning for Few-shot Natural Language Processing: A Survey
Figure 2 for Meta-learning for Few-shot Natural Language Processing: A Survey
Figure 3 for Meta-learning for Few-shot Natural Language Processing: A Survey
Figure 4 for Meta-learning for Few-shot Natural Language Processing: A Survey
* no submission intent 
  Access Paper or Ask Questions

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization


Jun 17, 2020
Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher

Figure 1 for CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
Figure 2 for CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
Figure 3 for CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
Figure 4 for CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization

  Access Paper or Ask Questions

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT


Feb 27, 2020
Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip Yu, Caiming Xiong

Figure 1 for Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
Figure 2 for Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
Figure 3 for Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
Figure 4 for Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

  Access Paper or Ask Questions

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach


Aug 31, 2019
Wenpeng Yin, Jamaal Hay, Dan Roth

Figure 1 for Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Figure 2 for Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Figure 3 for Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Figure 4 for Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
* EMNLP2019 camera-ready, 10 pages 
  Access Paper or Ask Questions

An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing


Aug 16, 2019
Jianquan Li, Xiaokang Liu, Wenpeng Yin, Min Yang, Liqun Ma

Figure 1 for An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Figure 2 for An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Figure 3 for An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
Figure 4 for An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing

  Access Paper or Ask Questions

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims


Jun 08, 2019
Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth

Figure 1 for Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
Figure 2 for Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
Figure 3 for Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
Figure 4 for Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
* In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019) 
  Access Paper or Ask Questions

TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification


Aug 28, 2018
Wenpeng Yin, Dan Roth

Figure 1 for TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Figure 2 for TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Figure 3 for TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Figure 4 for TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
* EMNLP 2018 camera-ready 
  Access Paper or Ask Questions

ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs


Jun 25, 2018
Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou

* TACL Camera-ready 
  Access Paper or Ask Questions

Term Definitions Help Hypernymy Detection


Jun 12, 2018
Wenpeng Yin, Dan Roth

Figure 1 for Term Definitions Help Hypernymy Detection
Figure 2 for Term Definitions Help Hypernymy Detection
Figure 3 for Term Definitions Help Hypernymy Detection
Figure 4 for Term Definitions Help Hypernymy Detection
* *SEM'2018 camera-ready 
  Access Paper or Ask Questions

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs


Jun 12, 2018
Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schütze

Figure 1 for Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Figure 2 for Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Figure 3 for Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Figure 4 for Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
* COLING'2018 camera-ready 
  Access Paper or Ask Questions

End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions


May 15, 2018
Wenpeng Yin, Hinrich Schütze, Dan Roth

Figure 1 for End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
Figure 2 for End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
Figure 3 for End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
Figure 4 for End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
* ACL'2018 camera-ready; 6 pages, 3 figures 
  Access Paper or Ask Questions

Attentive Convolution


Oct 02, 2017
Wenpeng Yin, Hinrich Schütze

Figure 1 for Attentive Convolution
Figure 2 for Attentive Convolution
Figure 3 for Attentive Convolution
Figure 4 for Attentive Convolution
* 12 pages, 2 figures 
  Access Paper or Ask Questions

Improved Neural Relation Detection for Knowledge Base Question Answering


May 27, 2017
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cicero dos Santos, Bing Xiang, Bowen Zhou

Figure 1 for Improved Neural Relation Detection for Knowledge Base Question Answering
Figure 2 for Improved Neural Relation Detection for Knowledge Base Question Answering
Figure 3 for Improved Neural Relation Detection for Knowledge Base Question Answering
Figure 4 for Improved Neural Relation Detection for Knowledge Base Question Answering
* Accepted by ACL 2017 (updated for camera-ready) 
  Access Paper or Ask Questions

Comparative Study of CNN and RNN for Natural Language Processing


Feb 07, 2017
Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze

Figure 1 for Comparative Study of CNN and RNN for Natural Language Processing
Figure 2 for Comparative Study of CNN and RNN for Natural Language Processing
Figure 3 for Comparative Study of CNN and RNN for Natural Language Processing
Figure 4 for Comparative Study of CNN and RNN for Natural Language Processing
* 7 pages, 11 figures 
  Access Paper or Ask Questions

Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching


Jan 09, 2017
Wenpeng Yin, Hinrich Schütze

Figure 1 for Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
Figure 2 for Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
Figure 3 for Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
Figure 4 for Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
* EACL'2017 long paper. arXiv admin note: substantial text overlap with arXiv:1604.06896 
  Access Paper or Ask Questions

Simple Question Answering by Attentive Convolutional Neural Network


Oct 11, 2016
Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze

Figure 1 for Simple Question Answering by Attentive Convolutional Neural Network
Figure 2 for Simple Question Answering by Attentive Convolutional Neural Network
Figure 3 for Simple Question Answering by Attentive Convolutional Neural Network
Figure 4 for Simple Question Answering by Attentive Convolutional Neural Network
* Accepted as an oral long paper by COLING'2016 
  Access Paper or Ask Questions

Why and How to Pay Different Attention to Phrase Alignments of Different Intensities


Jun 13, 2016
Wenpeng Yin, Hinrich Schütze

Figure 1 for Why and How to Pay Different Attention to Phrase Alignments of Different Intensities
Figure 2 for Why and How to Pay Different Attention to Phrase Alignments of Different Intensities
Figure 3 for Why and How to Pay Different Attention to Phrase Alignments of Different Intensities
Figure 4 for Why and How to Pay Different Attention to Phrase Alignments of Different Intensities
* 10 pages, 5 figures 
  Access Paper or Ask Questions

Discriminative Phrase Embedding for Paraphrase Identification


Apr 02, 2016
Wenpeng Yin, Hinrich Schütze

Figure 1 for Discriminative Phrase Embedding for Paraphrase Identification
Figure 2 for Discriminative Phrase Embedding for Paraphrase Identification
Figure 3 for Discriminative Phrase Embedding for Paraphrase Identification
* NAACL'2015 
  Access Paper or Ask Questions

Online Updating of Word Representations for Part-of-Speech Tagging


Apr 02, 2016
Wenpeng Yin, Tobias Schnabel, Hinrich Schütze

Figure 1 for Online Updating of Word Representations for Part-of-Speech Tagging
Figure 2 for Online Updating of Word Representations for Part-of-Speech Tagging
Figure 3 for Online Updating of Word Representations for Part-of-Speech Tagging
Figure 4 for Online Updating of Word Representations for Part-of-Speech Tagging
* EMNLP'2015. Released POS tagger "FLORS" for online domain adaptation 
  Access Paper or Ask Questions

Multichannel Variable-Size Convolution for Sentence Classification


Mar 15, 2016
Wenpeng Yin, Hinrich Schütze

Figure 1 for Multichannel Variable-Size Convolution for Sentence Classification
Figure 2 for Multichannel Variable-Size Convolution for Sentence Classification
Figure 3 for Multichannel Variable-Size Convolution for Sentence Classification
Figure 4 for Multichannel Variable-Size Convolution for Sentence Classification
* in Proceeding of CoNLL2015 
  Access Paper or Ask Questions

Attention-Based Convolutional Neural Network for Machine Comprehension


Feb 13, 2016
Wenpeng Yin, Sebastian Ebert, Hinrich Schütze

Figure 1 for Attention-Based Convolutional Neural Network for Machine Comprehension
Figure 2 for Attention-Based Convolutional Neural Network for Machine Comprehension
Figure 3 for Attention-Based Convolutional Neural Network for Machine Comprehension
* 7 pages, 4 figures 
  Access Paper or Ask Questions

Learning Meta-Embeddings by Using Ensembles of Embedding Sets


Dec 30, 2015
Wenpeng Yin, Hinrich Schütze

Figure 1 for Learning Meta-Embeddings by Using Ensembles of Embedding Sets
Figure 2 for Learning Meta-Embeddings by Using Ensembles of Embedding Sets
Figure 3 for Learning Meta-Embeddings by Using Ensembles of Embedding Sets
Figure 4 for Learning Meta-Embeddings by Using Ensembles of Embedding Sets
* 10 pages, 6 figures 
  Access Paper or Ask Questions

Deep Learning Embeddings for Discontinuous Linguistic Units


Dec 19, 2013
Wenpeng Yin, Hinrich Schütze

Figure 1 for Deep Learning Embeddings for Discontinuous Linguistic Units

  Access Paper or Ask Questions