A density compensation-based path computing model for measuring semantic similarity. - Xinhua Zhu 002; Fei Li; Hongchao Chen; Qi Peng (CoRR, 2015)

A Biomedical Question Answering System Based on SNOMED-CT. - Xinhua Zhu 002; Xuechen Yang; Hongchao Chen (KSEM (1), 2018)

A Wikipedia Two-Way Link Vector Model for Measuring Semantic Relatedness. - Xinhua Zhu 002; Qingsong Guo; Bo Zhang 064 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

An efficient path computing model for measuring semantic similarity using edge and density. - Xinhua Zhu 002; Fei Li 037; Hongchao Chen; Qi Peng (Knowl. Inf. Syst., 2018)

An Efficient and Asymmetrical Feature Mapping Model for Measuring Semantic Similarity. - Xinhua Zhu 002; Qingting Xu; Lanfang Zhang; Xiaohua Guo; Hongchao Chen; Qingsong Guo (ICACI, 2019)

An Improved Class-Center Method for Text Classification Using Dependencies and WordNet. - Xinhua Zhu 002; Qingting Xu; Yishan Chen 002; Tianjun Wu (NLPCC (2), 2019)

A Common Semantic Scoring Method for Chinese Subjective Questions. - Xinhua Zhu 002; Qingting Xu; Lanfang Zhang; Han Deng; Hongchao Chen (TASE, 2019)

An efficient approach for measuring semantic relatedness using Wikipedia bidirectional links. - Xinhua Zhu 002; Qingsong Guo; Bo Zhang 064; Fei Li 037 (Appl. Intell., 2019)

An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia. - Fei Li 037; Lejian Liao; Lanfang Zhang; Xinhua Zhu 002; Bo Zhang 064; Zheng Wang 046 (IEEE Access, 2020)

A Novel Class-Center Vector Model for Text Classification Using Dependencies and a Semantic Dictionary. - Xinhua Zhu 002; Qingting Xu; Yishan Chen 002; Hongchao Chen; Tianjun Wu (IEEE Access, 2020)

A gated piecewise CNN with entity-aware enhancement for distantly supervised relation extraction. - Haixu Wen; Xinhua Zhu 002; Lanfang Zhang; Fei Li 037 (Inf. Process. Manag., 2020)

Measuring similarity and relatedness using multiple semantic relations in WordNet. - Xinhua Zhu 002; Xuechen Yang; Yanyi Huang; Qingsong Guo; Bo Zhang 064 (Knowl. Inf. Syst., 2020)

A segment enhanced span-based model for nested named entity recognition. - Fei Li 037; Zheng Wang 046; Siu Cheung Hui; Lejian Liao; Xinhua Zhu 002; Heyan Huang (Neurocomputing, 2021)

CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics. - Yu Wen; Xinhua Zhu 002; Lanfang Zhang (IEEE Access, 2022)

Automatic Short-Answer Grading via BERT-Based Deep Neural Networks. - Xinhua Zhu 002; Han Wu; Lanfang Zhang (IEEE Trans. Learn. Technol., 2022)

Research on Relation Extraction Based on BERT with Multifaceted Semantics. - Meng Dong; Xinhua Zhu 002 (ICONIP (14), 2023)

A Cross-Lingual Hybrid Neural Network With Interaction Enhancement for Grading Short-Answer Texts. - Yishan Chen 002; Jianhua Luo; Xinhua Zhu 002; Han Wu; Shangbo Yuan (IEEE Access, 2023)

A BERT-based multi-semantic learning model with aspect-aware enhancement for aspect polarity classification. - Xinhua Zhu 002; Yuxiang Zhu; Lanfang Zhang; Yishan Chen 002 (Appl. Intell., 2023)

Improving distant supervision relation extraction with entity-guided enhancement feature. - Haixu Wen; Xinhua Zhu 002; Lanfang Zhang (Neural Comput. Appl., 2023)

A prompt model with combined semantic refinement for aspect sentiment analysis. - Xinhua Zhu 002; Zhongjie Kuang; Lanfang Zhang (Inf. Process. Manag., 2023)

BERT-Based Global Semantic Refinement and Local Semantic Extraction for Distinguishing Urgent Posts in MOOC Forums. - Zongtian Zhang; Xinhua Zhu 002; Qiaolin He; Lanfang Zhang (IEEE Access, 2024)

A T5-based interpretable reading comprehension model with more accurate evidence training. - Boxu Guan; Xinhua Zhu 002; Shangbo Yuan (Inf. Process. Manag., 2024)