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ORCIDGuodong Zhou
- > Home > Persons > Guodong Zhou
Publications
- 2023
[c267]Zhongqiu Li, Yu Hong, Shiming He, Shuai Yang, Guodong Zhou:
A Mixture of Experts with Adaptive Semantic Encoding for Event Detection. IJCNN 2023: 1-7- [c266]Dong Liu, Yu Hong, Chuyao Ding, Jianmin Yao, Guodong Zhou:
EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation. IJCNN 2023: 1-8 - [c265]Dong Liu, Yu Hong, Jianmin Yao, Guodong Zhou:
Question Generation via Generative Adversarial Networks. IJCNN 2023: 1-8 - [c264]Qingting Xu, Yu Hong, Jiaxiang Chen, Jianmin Yao, Guodong Zhou:
Data Augmentation via Back-translation for Aspect Term Extraction. IJCNN 2023: 1-8 - [c263]Qingting Xu, Yu Hong, Fubang Zhao, Kaisong Song, Jiaxiang Chen, Yangyang Kang, Guodong Zhou:
GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction. IJCNN 2023: 1-6 - 2022
- [c252]Jiaxiang Chen, Yu Hong, Qingting Xu, Jianmin Yao, Guodong Zhou:
Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features. ICTAI 2022: 303-310 - [c251]Shiming He, Yu Hong, Zhongqiu Li, Jianmin Yao, Guodong Zhou:
Event Detection with Cross-Sentence Graph Convolutional Networks. ICTAI 2022: 334-341 - [c250]Zujun Dou, Yu Hong, Yu Sun, Xiao Li, Guodong Zhou:
Enhancing Implicit Discourse Relation Classification by Perceiving External Semantics and Convolving Internal Semantics. ICTAI 2022: 500-507 - [c246]Yuxiang Lu, Yu Hong, Xiao Li, Guodong Zhou:
Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism. PRICAI (2) 2022: 347-358 - 2021
- [j57]Bowei Zou, Rongtao Huang, Zengzhuang Xu, Yu Hong, Guodong Zhou
:
Language Adaptation for Entity Relation Classification via Adversarial Neural Networks. J. Comput. Sci. Technol. 36(1): 207-220 (2021) - 2020
- [c227]Rongtao Huang, Bowei Zou, Yu Hong, Wei Zhang, AiTi Aw, Guodong Zhou:
NUT-RC: Noisy User-generated Text-oriented Reading Comprehension. COLING 2020: 2687-2698 - [c226]Huibin Ruan, Yu Hong, Yang Xu, Zhen Huang, Guodong Zhou, Min Zhang:
Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition. COLING 2020: 3168-3178 - [c218]Rongtao Huang, Jing Ye, Bowei Zou, Yu Hong, Guodong Zhou:
Adversarial BiLSTM-CRF Architectures for Extra-Propositional Scope Resolution. NLPCC (2) 2020: 156-168 - 2019
- [j45]Yu Hong, Kai Wang, Weiyi Ge, Yingying Qiu, Guodong Zhou:
Cursor momentum for fascination measurement. Frontiers Comput. Sci. 13(2): 396-412 (2019) - [j44]Yu Hong, Siyuan Ding, Yang Xu, Xiaoxia Jiang, Yu Wang, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
Focus-sensitive relation disambiguation for implicit discourse relation detection. Frontiers Comput. Sci. 13(6): 1266-1281 (2019) - [c211]Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw:
Negative Focus Detection via Contextual Attention Mechanism. EMNLP/IJCNLP (1) 2019: 2251-2261 - [c197]Jiaxuan Sheng, Bowei Zou, Zhengxian Gong, Yu Hong, Guodong Zhou:
Chinese Event Factuality Detection. NLPCC (2) 2019: 486-496 - [c196]Yu Sun, Huibin Ruan, Yu Hong, Chenghao Wu, Min Zhang, Guodong Zhou:
Multi-grain Representation Learning for Implicit Discourse Relation Recognition. NLPCC (1) 2019: 725-736 - 2018
- [c194]Yu Hong, Wenxuan Zhou, Jingli Zhang, Qiaoming Zhu, Guodong Zhou:
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection. ACL (1) 2018: 515-526 - [c192]Yu Hong, Yang Xu, Huibin Ruan, Bowei Zou, Jianmin Yao, Guodong Zhou:
Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition. COLING 2018: 177-189 - [c191]Bowei Zou, Zengzhuang Xu, Yu Hong, Guodong Zhou:
Adversarial Feature Adaptation for Cross-lingual Relation Classification. COLING 2018: 437-448 - [c183]Yang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang, Guodong Zhou:
Using Active Learning to Expand Training Data for Implicit Discourse Relation Recognition. EMNLP 2018: 725-731 - 2016
- [c147]Xiaobin Wang, Yu Hong, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
A Novel Approach for Relation Extraction with Few Labeled Data. SMP 2016: 73-84 - [c146]Kai Wang, Yingying Qiu, Yu Hong, Yadong Chen, Jianming Yao, Qiaoming Zhu, Guodong Zhou:
A Case Study on Active Learning for Event Extraction. SMP 2016: 134-142 - 2014
- [c115]Yu Hong, Shanshan Zhu, Weirong Yan, Jianmin Yao, Qiaoming Zhu, Guodong Zhou:
Expanding Native Training Data for Implicit Discourse Relation Classification. SMP 2014: 67-75 - 2012
- [c102]Yu Hong, Xiaopei Zhou, Tingting Che, Jian-Min Yao, Qiaoming Zhu, Guodong Zhou:
Cross-argument inference for implicit discourse relation recognition. CIKM 2012: 295-304 - [c101]Shengfeng Ju, Shoushan Li, Yan Su, Guodong Zhou, Yu Hong, Xiaojun Li:
Dual word and document seed selection for semi-supervised sentiment classification. CIKM 2012: 2295-2298 - [c86]Yu Hong, Jun Lu, Jian-Min Yao, Qiaoming Zhu, Guodong Zhou:
What reviews are satisfactory: novel features for automatic helpfulness voting. SIGIR 2012: 495-504 - 2011
- [c84]Yu Hong, Jianfeng Zhang, Bin Ma, Jian-Min Yao, Guodong Zhou, Qiaoming Zhu:
Using Cross-Entity Inference to Improve Event Extraction. ACL 2011: 1127-1136
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