A survey on informaton extraction using entity relation based methods

Information extraction (IE) is the process of extracting the essential elements from structured text or knowledge from unstructured text by identifying references to named entities as well as stated relationships between such entities. IE systems can be used to directly untangle abstract knowledge from a text corpus, or to extract concrete information from a set of documents which can further be analyzed with traditional data-mining techniques to discover more general patterns and to identify the relationship between the entities in the Structured Text. It is required to discuss the various Entity Relation Extraction Methods and accuracy of the Extraction process. This paper presents the comparison of different entity relation extraction methods between two entities.