Literature Survey on Relation Extraction and Relational Learning

Semantic relation extraction between entities plays key role in many applications in natural language processing and understanding, information retrieval, text summarizing, etc. These application require an understanding of the semantic relations between entities. We present a comprehensive review of various aspects of the entity relation extraction task. We also present a review of relation extraction techniques in medical domain. Relation extraction techniques are used in relation extraction from unstructured text which can be used for further processing. These extracted relations are useful to construct a knowledge base. There are various relational learning methods which are used to learn new relations with the help of existing relations. Here we present a review of recent research on relational learning techniques as link prediction techniques.