Before revision: Joint extraction refers to extracting triples, composed of entities and relations, simultaneously from the text with a single model , but the existing methods rarely work well on sentences with overlapping issue, i.e., the same entity is included in multiple triples.
After revision: Joint extraction refers to extracting triples, composed of entities and relations, simultaneously from the text with a single model . However, most existing methods fail to extract all triples accurately and efficiently from sentences with overlapping issue, i.e., the same entity is included in multiple triples.