Relation Extraction

This chapter introduces methods for extracting the relations between entities mentioned in electronic health records, scientific literature, reports, and similar biomedical text. The contents of this chapter will be familiar to readers with expertise in general domain Natural Language Processing (NLP). The emphasis here is on discussing the challenges and relevancy of the relation extraction task to biomedical text. The chapter provides references to the existing studies, approaches used, and available datasets for understanding and further developing new relation extraction systems.