Bangze Pan, Yang Li, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao and Jianxing Zheng, & Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation", The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (Coling) 2024.
Abstract:
Document-level Event Extraction (DEE) is a vital task in NLP as it seeks to automatically recognize and
extract event information from a document. However, current approaches often overlook intricate relationships
among events and subtle correlations among arguments within a document, which can significantly impact
the effectiveness of event type recognition and the extraction of cross-sentence arguments in DEE task. This
paper proposes a novel Correlation Association Interactive Network (CAINet), comprising two key components:
event relationship graph and argument correlation graph. In particular, the event relationship graph models the
relationship among various events through structural associations among event nodes and sentence nodes,
to improve the accuracy of event recognition. On the other hand, the arguments correlation graph models
the correlations among arguments by quantifying the strength of association among arguments, to effectively
aggregate cross-sentence arguments, contributing to the overall success of DEE. Furthermore, we use the large
language model to execute DEE task experiments. Experimental results show the proposed CAINet outperforms
existing state-of-the-art models and large language models in terms of F1-score across two benchmark datasets.
License type:
Publisher Copyright
Funding Info:
National Key Research and Development Program of China
(2022QY0300-01), National Natural Science Foundation
of China (62376143, 62106130, 62076158,
62072294, 62272286), Natural Science Foundation
of Shanxi Province, China (20210302124084),Scientifc
and Technological Innovation Programs of
Higher Education Institutions in Shanxi, China
(2021L284), and CCF-Zhipu AI Large Model Foundation
of China (CCF-Zhipu202310).