  Extracting entities and relations is an essential task of information
extraction. Triplets extracted from a sentence might overlap with each other.
Previous methods either did not address the overlapping issues or solved
overlapping issues partially. To tackle triplet overlapping problems
completely, firstly we extract candidate subjects with a standard span
mechanism. Then we present a labeled span mechanism to extract the objects and
relations simultaneously, we use the labeled span mechanism to generate labeled
spans whose start and end positions indicate the objects, and whose labels
correspond to relations of subject and objects. Besides, we design an entity
attention mechanism to enhance the information fusion between subject and
sentence during extracting objects and relations. We test our method on two
public datasets, our method achieves the best performances on these two
datasets.
