IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model

arXiv:2403.00808v1 Announce Type: new
Abstract: Relational triple extraction is a fundamental task in the field of information extraction, and a promising framework based on table filling has recently gained attention as a potential baseline for entity relation extraction. However, inherent shortcomings such as redundant information and incomplete triple recognition remain problematic. To address these challenges, we propose an Implicit Perspective for relational triple Extraction based on Diffusion model (IPED), an innovative approach for extracting relational triples. Our classifier-free solution adopts …

abstract arxiv attention cs.ai cs.cl diffusion diffusion model extraction framework information information extraction perspective relational table type