YNU-NLP Lab

Research

YNU-NLP Lab focuses on the exciting field of Natural Language Processing (NLP). We study a variety of topics including sentiment analysis, multimodal systems, machine learning, graph neural networks, and dialogue systems. Our goal is to improve the way computers understand and interact with human language. By working together, our team strives to create smarter and more user-friendly technologies.

All

2022

Hierarchical template transformer for fine-grained sentiment controllable generation
Hierarchical template transformer for fine-grained sentiment controllable generation
Li Yuan, Jin Wang, Liang-Chih Yu, Xuejie Zhang
Information Processing & Management  ·  01 Sep 2022  ·  doi:10.1016/j.ipm.2022.103048
Explainable detection of adverse drug reaction with imbalanced data distribution
Explainable detection of adverse drug reaction with imbalanced data distribution
Jin Wang, Liang-Chih Yu, Xuejie Zhang
PLOS Computational Biology  ·  15 Jun 2022  ·  doi:10.1371/journal.pcbi.1010144
Interactive capsule network for implicit sentiment analysis
Interactive capsule network for implicit sentiment analysis
Yanjun Qian, Jin Wang, Dawei Li, Xuejie Zhang
Applied Intelligence  ·  20 May 2022  ·  doi:10.1007/s10489-022-03584-3
Hierarchical BERT with an adaptive fine-tuning strategy for document classification
Hierarchical BERT with an adaptive fine-tuning strategy for document classification
Jun Kong, Jin Wang, Xuejie Zhang
Knowledge-Based Systems  ·  01 Feb 2022  ·  doi:10.1016/j.knosys.2021.107872
Contextual sentiment embeddings via bi-directional GRU language model
Contextual sentiment embeddings via bi-directional GRU language model
Jin Wang, You Zhang, Liang-Chih Yu, Xuejie Zhang
Knowledge-Based Systems  ·  01 Jan 2022  ·  doi:10.1016/j.knosys.2021.107663

2021

Mirror Distillation Model with Focal Loss for Chinese Machine Reading Comprehension
Mirror Distillation Model with Focal Loss for Chinese Machine Reading Comprehension
Fulai Nan, Jin Wang, Xuejie Zhang
2021 International Conference on Asian Language Processing (IALP)  ·  11 Dec 2021  ·  doi:10.1109/IALP54817.2021.9675272
Joint Model of Triple Relation Extraction with Label Embeddings
Joint Model of Triple Relation Extraction with Label Embeddings
Mengjiao Xie, Jin Wang, Xuejie Zhang
2021 International Conference on Asian Language Processing (IALP)  ·  11 Dec 2021  ·  doi:10.1109/IALP54817.2021.9675156
A multi-dimensional relation model for dimensional sentiment analysis
A multi-dimensional relation model for dimensional sentiment analysis
Housheng Xie, Wei Lin, Shuying Lin, Jin Wang, Liang-Chih Yu
Information Sciences  ·  01 Nov 2021  ·  doi:10.1016/j.ins.2021.08.052
Conciseness is better: Recurrent attention LSTM model for document-level sentiment analysis
Conciseness is better: Recurrent attention LSTM model for document-level sentiment analysis
You Zhang, Jin Wang, Xuejie Zhang
Neurocomputing  ·  01 Oct 2021  ·  doi:10.1016/j.neucom.2021.07.072
Learning sentiment sentence representation with multiview attention model
Learning sentiment sentence representation with multiview attention model
You Zhang, Jin Wang, Xuejie Zhang
Information Sciences  ·  01 Sep 2021  ·  doi:10.1016/j.ins.2021.05.044
Personalized sentiment classification of customer reviews via an interactive attributes attention model
Personalized sentiment classification of customer reviews via an interactive attributes attention model
You Zhang, Jin Wang, Xuejie Zhang
Knowledge-Based Systems  ·  01 Aug 2021  ·  doi:10.1016/j.knosys.2021.107135
Variational Autoencoder with Interactive Attention for Affective Text Generation
Variational Autoencoder with Interactive Attention for Affective Text Generation
Ruijun Chen, Jin Wang, Xuejie Zhang
Natural Language Processing and Chinese Computing  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-88483-3_9
Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-distillation
Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-distillation
Jun Kong, Jin Wang, Xuejie Zhang
Natural Language Processing and Chinese Computing  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-88480-2_18

2020

Adversarial learning of sentiment word representations for sentiment analysis
Adversarial learning of sentiment word representations for sentiment analysis
Bo Peng, Jin Wang, Xuejie Zhang
Information Sciences  ·  01 Dec 2020  ·  doi:10.1016/j.ins.2020.06.044
Using a Pre-Trained Language Model for Medical Named Entity Extraction in Chinese Clinic Text
Using a Pre-Trained Language Model for Medical Named Entity Extraction in Chinese Clinic Text
Mengyuan Zhang, Jin Wang, Xuejie Zhang
2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)  ·  01 Jul 2020  ·  doi:10.1109/ICEIEC49280.2020.9152257
Pipelined Neural Networks for Phrase-Level Sentiment Intensity Prediction
Pipelined Neural Networks for Phrase-Level Sentiment Intensity Prediction
Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang
IEEE Transactions on Affective Computing  ·  01 Jul 2020  ·  doi:10.1109/TAFFC.2018.2807819
Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis
Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang
IEEE/ACM Transactions on Audio, Speech, and Language Processing  ·  01 Jan 2020  ·  doi:10.1109/TASLP.2019.2959251
A Novel Deep Learning Scheme for Motor Imagery EEG Decoding Based on Spatial Representation Fusion
A Novel Deep Learning Scheme for Motor Imagery EEG Decoding Based on Spatial Representation Fusion
Jun Yang, Zhengmin Ma, Jin Wang, Yunfa Fu
IEEE Access  ·  01 Jan 2020  ·  doi:10.1109/ACCESS.2020.3035347

2019

CIEA: A Corpus for Chinese Implicit Emotion Analysis
CIEA: A Corpus for Chinese Implicit Emotion Analysis
Dawei Li, Jin Wang, Xuejie Zhang
2019 International Conference on Asian Language Processing (IALP)  ·  01 Nov 2019  ·  doi:10.1109/IALP48816.2019.9037667

2018

Using a stacked residual LSTM model for sentiment intensity prediction
Using a stacked residual LSTM model for sentiment intensity prediction
Jin Wang, Bo Peng, Xuejie Zhang
Neurocomputing  ·  01 Dec 2018  ·  doi:10.1016/j.neucom.2018.09.049
Refining Word Embeddings Using Intensity Scores for Sentiment Analysis
Refining Word Embeddings Using Intensity Scores for Sentiment Analysis
Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang
IEEE/ACM Transactions on Audio, Speech, and Language Processing  ·  01 Mar 2018  ·  doi:10.1109/TASLP.2017.2788182
Deep Fusion Feature Learning Network for MI-EEG Classification
Deep Fusion Feature Learning Network for MI-EEG Classification
Jun Yang, Shaowen Yao, Jin Wang
IEEE Access  ·  01 Jan 2018  ·  doi:10.1109/ACCESS.2018.2877452
An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction
An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction
Peng Ding, Xiaobing Zhou, Xuejie Zhang, Jin Wang, Zhenfeng Lei
IEEE Access  ·  01 Jan 2018  ·  doi:10.1109/ACCESS.2018.2882443

2017

Refining Word Embeddings for Sentiment Analysis
Refining Word Embeddings for Sentiment Analysis
Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing  ·  01 Jan 2017  ·  doi:10.18653/v1/D17-1056
Refining Word Embeddings for Sentiment Analysis
Refining Word Embeddings for Sentiment Analysis
Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing  ·  01 Jan 2017  ·  doi:10.18653/v1/d17-1056

2016

Community-Based Weighted Graph Model for Valence-Arousal Prediction of Affective Words
Community-Based Weighted Graph Model for Valence-Arousal Prediction of Affective Words
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang
IEEE/ACM Transactions on Audio, Speech, and Language Processing  ·  01 Nov 2016  ·  doi:10.1109/TASLP.2016.2594287
Locally weighted linear regression for cross-lingual valence-arousal prediction of affective words
Locally weighted linear regression for cross-lingual valence-arousal prediction of affective words
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang
Neurocomputing  ·  01 Jun 2016  ·  doi:10.1016/j.neucom.2016.02.057
Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  ·  01 Jan 2016  ·  doi:10.18653/v1/P16-2037
Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  ·  01 Jan 2016  ·  doi:10.18653/v1/p16-2037
Building Chinese Affective Resources in Valence-Arousal Dimensions
Building Chinese Affective Resources in Valence-Arousal Dimensions
Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jin Wang, Yunchao He, Jun Hu, K. Robert Lai, Xuejie Zhang
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies  ·  01 Jan 2016  ·  doi:10.18653/v1/n16-1066

2015

A locally weighted method to improve linear regression for lexical-based valence-arousal prediction
A locally weighted method to improve linear regression for lexical-based valence-arousal prediction
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xue-jie Zhang
2015 International Conference on Affective Computing and Intelligent Interaction (ACII)  ·  01 Sep 2015  ·  doi:10.1109/ACII.2015.7344604
Predicting Valence-Arousal Ratings of Words Using a Weighted Graph Method
Predicting Valence-Arousal Ratings of Words Using a Weighted Graph Method
Liang-Chih Yu, Jin Wang, K. Robert Lai, Xue-jie Zhang
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)  ·  01 Jan 2015  ·  doi:10.3115/v1/p15-2129

2014

Applying MapReduce Framework to Peer-to-Peer Overlay Network
Applying MapReduce Framework to Peer-to-Peer Overlay Network
Pei Xiao, Xiaolu Zhang, Jin Wang, Jixian Zhang, Qiang Han, Xuejie Zhang
2014 International Conference on Service Sciences  ·  01 May 2014  ·  doi:10.1109/ICSS.2014.21

2010

Tracking objects through occlusions using improved Kalman filter
Tracking objects through occlusions using improved Kalman filter
Jin Wang, Fei He, Xuejie Zhang, Yun Gao
2010 2nd International Conference on Advanced Computer Control  ·  01 Jan 2010  ·  doi:10.1109/ICACC.2010.5487263
A moving objects detection algorithm using iterative division and Gaussian mixture model
A moving objects detection algorithm using iterative division and Gaussian mixture model
Fei He, Jin Wang, Xuejie Zhang, Yun Gao
2010 2nd International Conference on Advanced Computer Control  ·  01 Jan 2010  ·  doi:10.1109/ICACC.2010.5487264