Wei Xiang
Orcid: 0000-0002-4675-3900Affiliations:
- Huazhong University of Science and Technology (HUST), School of Electronic Information and Communications, Wuhan, China
  According to our database1,
  Wei Xiang
  authored at least 28 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
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Bibliography
  2025
DAPrompt: deterministic assumption prompt learning for event causality identification.
    
  
    Neural Comput. Appl., September, 2025
    
  
Modeling document causal structure with a hypergraph for event causality identification.
    
  
    Neural Networks, 2025
    
  
Modeling correlated causal-effect structure with a hypergraph for document-level event causality identification.
    
  
    Comput. Speech Lang., 2025
    
  
Evaluating Instructively Generated Statement by Large Language Models for Directional Event Causality Identification.
    
  
    Proceedings of the Findings of the Association for Computational Linguistics, 2025
    
  
  2024
Parsing and encoding interactive phrase structure for implicit discourse relation recognition.
    
  
    Neural Comput. Appl., August, 2024
    
  
    CoRR, 2024
    
  
Bias-Rectified Multi-way Learning with Data Augmentation for Implicit Discourse Relation Recognition.
    
  
    Proceedings of the Natural Language Processing and Chinese Computing, 2024
    
  
    Proceedings of the Natural Language Processing and Chinese Computing, 2024
    
  
    Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
    
  
    Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
    
  
    Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
    
  
    Proceedings of the Findings of the Association for Computational Linguistics, 2024
    
  
  2023
Modeling Character-Word Interaction via a Novel Mesh Transformer for Chinese Event Detection.
    
  
    Neural Process. Lett., December, 2023
    
  
    ACM Comput. Surv., December, 2023
    
  
    Expert Syst. Appl., November, 2023
    
  
    Appl. Intell., March, 2023
    
  
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition.
    
  
    CoRR, 2023
    
  
DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification.
    
  
    CoRR, 2023
    
  
Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection.
    
  
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
    
  
TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition.
    
  
    Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
    
  
  2022
    Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
    
  
    Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
    
  
ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition.
    
  
    Proceedings of the 29th International Conference on Computational Linguistics, 2022
    
  
Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition.
    
  
    Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
    
  
  2021
    Proceedings of the Natural Language Processing and Chinese Computing, 2021
    
  
  2019
Encoding Syntactic Dependency and Topical Information for Social Emotion Classification.
    
  
    Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019