Papers Document-level Closed Information Extraction

“Document-level Closed Information Extraction” 태그가 달린 논문 2편 · 필터 해제

ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget

2024-07-31 · Riccardo Orlando, Pere-Lluis Huguet Cabot, Edoardo Barba, Roberto Navigli

Entity Linking (EL) and Relation Extraction (RE) are fundamental tasks in Natural Language Processing, serving as critical components in a wide range of applications. In this paper, we propose ReLiK, a Retriever-Reader a…

Document-level Closed Information Extraction Entity Linking Relation Extraction

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

2024-04-19 · Nacime Bouziani, Shubhi Tyagi, Joseph Fisher, Jens Lehmann 외

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 …

Benchmarking coreference-resolution Coreference Resolution Document-level Closed Information Extraction+11