REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking

arXiv:2404.12788v1 Announce Type: new
Abstract: Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). However, existing approaches for cIE suffer from two limitations: (i) they are often pipelines which makes them prone to error propagation, and/or (ii) they are restricted to sentence level which prevents them from capturing long-range dependencies and results in expensive inference time. We address these limitations by proposing REXEL, a highly efficient and …

arxiv cs.cl document extraction type