3 papers
cs.CL2025
A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects
Qing Cheng, Zefan Zeng, Xingchen Hu +2
Event Causality Identification (ECI) has become an essential task in Natural Language Processing (NLP), focused on automatically detecting causal relationships between events withi…
cs.AI2025
T3DM: Test-Time Training-Guided Distribution Shift Modelling for Temporal Knowledge Graph Reasoning
Yuehang Si, Zefan Zeng, Jincai Huang +1
Temporal Knowledge Graph (TKG) is an efficient method for describing the dynamic development of facts along a timeline. Most research on TKG reasoning (TKGR) focuses on modelling t…
cs.CL2025
Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models
Zefan Zeng, Xingchen Hu, Qing Cheng +3
Event Causality Identification (ECI) aims to detect causal relationships between events in textual contexts. Existing ECI models predominantly rely on supervised methodologies, suf…