Before revision: Named entity recognition (NER) and Relation extraction (RE) are two fundamental tasks in natural language processing applications. In practice, these two tasks are often to be solved simultaneously. Traditional multi-task  learning models implicitly capture the correlations between NER and RE.
After revision: The idea of using multi-task learning models implicitly capture the correlations between NER and RE.