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 Houfeng Wang

Houfeng Wang

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction


Feb 22, 2021
Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang

Figure 1 for First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction
Figure 2 for First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction
Figure 3 for First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction
Figure 4 for First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction

  Access Paper or Ask Questions

simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions


Aug 27, 2018
Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun

Figure 1 for simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
* Accepted by Conference on Empirical Methods in Natural Language Processing 2018 
  Access Paper or Ask Questions

Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions


Aug 16, 2018
Wei Li, Xuancheng Ren, Damai Dai, Yunfang Wu, Houfeng Wang, Xu Sun

Figure 1 for Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions
Figure 2 for Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions
Figure 3 for Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions
Figure 4 for Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions

  Access Paper or Ask Questions

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach


Aug 05, 2018
Jingjing Xu, Xu Sun, Qi Zeng, Xuancheng Ren, Xiaodong Zhang, Houfeng Wang, Wenjie Li

Figure 1 for Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
Figure 2 for Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
Figure 3 for Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
Figure 4 for Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
* Accepted by ACL 2018 
  Access Paper or Ask Questions

SGM: Sequence Generation Model for Multi-label Classification


Jun 15, 2018
Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, Houfeng Wang

Figure 1 for SGM: Sequence Generation Model for Multi-label Classification
Figure 2 for SGM: Sequence Generation Model for Multi-label Classification
Figure 3 for SGM: Sequence Generation Model for Multi-label Classification
Figure 4 for SGM: Sequence Generation Model for Multi-label Classification
* Accepted by COLING 2018 
  Access Paper or Ask Questions

Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization


May 13, 2018
Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang

Figure 1 for Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Figure 2 for Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Figure 3 for Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Figure 4 for Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
* accepted by ACL 2018 
  Access Paper or Ask Questions

Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification


Mar 03, 2018
Yizhong Wang, Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang

Figure 1 for Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification
Figure 2 for Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification
Figure 3 for Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification
Figure 4 for Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification
* Accepted by IJCNLP 2017, 10 pages 
  Access Paper or Ask Questions

Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing


Nov 25, 2017
Xu Sun, Weiwei Sun, Shuming Ma, Xuancheng Ren, Yi Zhang, Wenjie Li, Houfeng Wang

Figure 1 for Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing
Figure 2 for Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing
Figure 3 for Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing
Figure 4 for Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing
* arXiv admin note: text overlap with arXiv:1411.6243 
  Access Paper or Ask Questions

Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method


Nov 17, 2017
Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Houfeng Wang

Figure 1 for Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
Figure 2 for Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
Figure 3 for Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
Figure 4 for Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method

  Access Paper or Ask Questions

meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting


Oct 31, 2017
Xu Sun, Xuancheng Ren, Shuming Ma, Houfeng Wang

Figure 1 for meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
Figure 2 for meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
Figure 3 for meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
Figure 4 for meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
* Accepted by The 34th International Conference on Machine Learning (ICML 2017) 
  Access Paper or Ask Questions

Interactive Attention Networks for Aspect-Level Sentiment Classification


Sep 04, 2017
Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

Figure 1 for Interactive Attention Networks for Aspect-Level Sentiment Classification
Figure 2 for Interactive Attention Networks for Aspect-Level Sentiment Classification
Figure 3 for Interactive Attention Networks for Aspect-Level Sentiment Classification
Figure 4 for Interactive Attention Networks for Aspect-Level Sentiment Classification
* Accepted by IJCAI 2017 
  Access Paper or Ask Questions

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization


Jun 08, 2017
Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li, Qi Su

Figure 1 for Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Figure 2 for Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Figure 3 for Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Figure 4 for Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
* Accepted by ACL 
  Access Paper or Ask Questions

Towards Label Imbalance in Multi-label Classification with Many Labels


Apr 05, 2016
Li Li, Houfeng Wang

Figure 1 for Towards Label Imbalance in Multi-label Classification with Many Labels
Figure 2 for Towards Label Imbalance in Multi-label Classification with Many Labels
Figure 3 for Towards Label Imbalance in Multi-label Classification with Many Labels
Figure 4 for Towards Label Imbalance in Multi-label Classification with Many Labels

  Access Paper or Ask Questions

A Dependency-Based Neural Network for Relation Classification


Jul 16, 2015
Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang

Figure 1 for A Dependency-Based Neural Network for Relation Classification
Figure 2 for A Dependency-Based Neural Network for Relation Classification
Figure 3 for A Dependency-Based Neural Network for Relation Classification
Figure 4 for A Dependency-Based Neural Network for Relation Classification
* This preprint is the full version of a short paper accepted in the annual meeting of the Association for Computational Linguistics (ACL) 2015 (Beijing, China) 
  Access Paper or Ask Questions