Document-level Closed Information Extraction
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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 ExtractionEntity LinkingRelation ExtractionREXEL: 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 …
Benchmarkingcoreference-resolutionCoreference ResolutionDocument-level Closed Information Extraction+11