Relation extraction is to identify the relations between pairs of named entities. In this paper, we try to solve the problem of relation extraction by discovering dependency tree patterns (a pattern is an embedded sub dependency tree indicating a relation instance). Our approach is to find an optimal rule (pattern) set automatically based on the proposed dependency tree pattern mining algorithm...

With the progress of society and improvement living standards, people pay more attention to personal health, WITMED (Wise Information Technology med) has occupied an important position. The relationship prediction work in medical field high requirements on interpretability method, but between entities is complex, existing methods are difficult meet requirements. This paper proposes a novel info...

This paper discusses the problem of utilising multiply annotated data in training biomedical information extraction systems. Two corpora, annotated with entities and relations, and containing a number of multiply annotated documents, are used to train named entity recognition and relation extraction systems. Several methods of automatically combining the multiple annotations to produce a single...