Encoding Syntactic Dependency and Topical Information for Social Emotion Classification. - Chang Wang; Bang Wang 001; Wei Xiang 005; Minghua Xu 001 (SIGIR, 2019)

A Survey of Event Extraction From Text. - Wei Xiang 005; Bang Wang 001 (IEEE Access, 2019)

Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network. - Lu Dai; Bang Wang 001; Wei Xiang 005; Yijun Mo (NLPCC (2), 2021)

Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition. - Wei Xiang 005; Bang Wang 001; Lu Dai; Yijun Mo (ACL (Findings), 2022)

ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition. - Wei Xiang 005; Zhenglin Wang; Lu Dai; Bang Wang 001 (COLING, 2022)

Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction. - Lu Dai; Bang Wang 001; Wei Xiang 005; Yijun Mo (EMNLP, 2022)

A Hybrid Semantic-Topic Co-encoding Network for Social Emotion Classification. - Lu Dai; Bang Wang 001; Wei Xiang 005; Minghua Xu 001; Han Xu 003 (PAKDD (1), 2022)

TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition. - Wei Xiang 005; Chao Liang; Bang Wang 001 (ACL (Findings), 2023)

Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection. - Songtao Liu; Ziling Luo; Minghua Xu 001; Lixiao Wei; Ziyao Wei; Han Yu; Wei Xiang 005; Bang Wang 001 (EMNLP, 2023)

DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification. - Wei Xiang 005; Chuanhong Zhan; Bang Wang 001 (CoRR, 2023)

Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition. - Bang Wang 001; Zhenglin Wang; Wei Xiang 005; Yijun Mo (CoRR, 2023)

A syntactic distance sensitive neural network for event argument extraction. - Lu Dai; Bang Wang 001; Wei Xiang 005; Yijun Mo (Appl. Intell., 2023)

RadarPDR: Radar-Assisted Indoor Pedestrian Dead Reckoning. - Jianbiao He; Wei Xiang 005; Qing Zhang; Bang Wang 001 (Sensors, 2023)

A graph-enhanced attention model for community detection in multiplex networks. - Bang Wang 001; Xiang Cai; Minghua Xu 001; Wei Xiang 005 (Expert Syst. Appl., 2023)

A Survey of Implicit Discourse Relation Recognition. - Wei Xiang 005; Bang Wang 001 (ACM Comput. Surv., 2023)

Modeling Character-Word Interaction via a Novel Mesh Transformer for Chinese Event Detection. - Lu Dai; Bang Wang 001; Wei Xiang 005; Yijun Mo (Neural Process. Lett., 2023)

Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection. - Songtao Liu; Bang Wang 001; Wei Xiang 005; Han Xu 003; Minghua Xu 001 (ACL (Findings), 2024)

Identifying while Learning for Document Event Causality Identification. - Cheng Liu; Wei Xiang 005; Bang Wang 001 (ACL (1), 2024)

In-context Contrastive Learning for Event Causality Identification. - Chao Liang; Wei Xiang 005; Bang Wang 001 (EMNLP, 2024)

What Would Happen Next? Predicting Consequences from An Event Causality Graph. - Chuanhong Zhan; Wei Xiang 005; Liang Chao; Bang Wang 001 (EMNLP (Findings), 2024)

Retrieval-Enhanced Template Generation for Template Extraction. - Renyu Wang; Wei Xiang 005; Zhenhua Wang; Bang Wang 001 (NLPCC (1), 2024)

Bias-Rectified Multi-way Learning with Data Augmentation for Implicit Discourse Relation Recognition. - Ziwei Zheng; Chao Liang; Wei Xiang 005; Bang Wang 001 (NLPCC (1), 2024)

What Would Happen Next? Predicting Consequences from An Event Causality Graph. - Chuanhong Zhan; Wei Xiang 005; Chao Liang; Bang Wang 001 (CoRR, 2024)

Parsing and encoding interactive phrase structure for implicit discourse relation recognition. - Wei Xiang 005; Songtao Liu; Bang Wang 001 (Neural Comput. Appl., 2024)

Evaluating Instructively Generated Statement by Large Language Models for Directional Event Causality Identification. - Wei Xiang 005; Chuanhong Zhan; Qing Zhang; Bang Wang 001 (ACL (Findings), 2025)

Modeling correlated causal-effect structure with a hypergraph for document-level event causality identification. - Wei Xiang 005; Cheng Liu; Bang Wang 001 (Comput. Speech Lang., 2025)

Modeling document causal structure with a hypergraph for event causality identification. - Wei Xiang 005; Cheng Liu; Bang Wang 001 (Neural Networks, 2025)

DAPrompt: deterministic assumption prompt learning for event causality identification. - Wei Xiang 005; Chuanhong Zhan; Qing Zhang; Bang Wang 001 (Neural Comput. Appl., 2025)