CDR

AbstractDocument-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence entities. However, effective aggregation of relevant information in the document …...

Document-level relation extraction aims to de- tect the relations within one document, which is challenging since it requires complex rea- soning using mentions, entities, local and global contexts. Few previous …...

AbstractDocument-level biomedical relation extraction (Bio-DocuRE) is an important branch of biomedical text mining that aims to automatically extract all relation facts from the biomedical text. Since there are a considerable …...

AbstractDocument-level relation extraction aims to recognize relations among multiple entity pairs from a whole piece of article. Recent methods achieve considerable performance but still suffer from two challenges: a) the …...