Abstract Document-level Relation Extraction (RE) aims to extract relation triples from
documents. Existing document-RE models typically rely on supervised learning which …

Span identification aims at identifying specific text spans from text input and classifying them
into pre-defined categories. Different from previous works that merely leverage the …

Document-level relation extraction (DocRE) aims to identify relationships between entities
within a document. Due to the vast number of entity pairs, fully annotating all fact triplets is …

Document-level Relation Extraction (DocRE) aims to identify relationships between entity
pairs within a document. However, most existing methods assume a uniform label …

Motivated by various downstream applications, there is tremendous interest in the automatic
construction of knowledge graphs (KG) by extracting relations from text corpora. Relation …