Nan Mu — accepted AI-conference papers

2025

A Diffusion Model over Directed Acyclic Graphs for Event Schema Generation

Guoxuan Ding, Haotian Jin, Xiaobo Guo, Xin Wang, Nan Mu, Lei Wang +1

ICASSP 2025accepted

Event schema generation is crucial for understanding the structure and temporal relationships of complex events. In this paper, we introduce a novel Directed Acyclic Graph Diffusion Model (DAGDM) that integrates DAG characteristics within a diffusion framework to enhance the effectiveness of schema…

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2025

Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction

Guoxuan Ding, Xiaobo Guo, Xin Wang, Lei Wang, Tianshu Fu, Nan Mu +1

COLING 2025main

Event Argument Extraction is a critical task of Event Extraction, focused on identifying event arguments within text. This paper presents a novel Fusion Selection-Generation-Based Approach, by combining the precision of selective methods with the semantic generation capability of generative methods…

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