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cs.CL2026
Ontology-Driven Structural Regularization for Document-Level Relation Extraction
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
Document-Level Relation Extraction (DocRE) relies heavily on costly manually annotated datasets, while large distant supervision resources such as DocRED distant remain underexploi…
cs.CL2026
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
Marco Martinelli, Stefano Marchesin, Vanessa Bonato +6
Information Extraction (IE), encompassing Named Entity Recognition (NER), Named Entity Linking (NEL), and Relation Extraction (RE), is critical for transforming the rapidly growing…
cs.CL2026
DOREMI: Optimizing Long Tail Predictions in Document-Level Relation Extraction
Laura Menotti, Stefano Marchesin, Gianmaria Silvello
Document-Level Relation Extraction (DocRE) presents significant challenges due to its reliance on cross-sentence context and the long-tail distribution of relation types, where man…