A Survey of Relation Classification via Convolutional Neural Network

Abstract: Relation classification is one of the important research issue in the field of natural language processing (NLP) tasks. It is a crucial intermediate step in complex knowledge intensive applications like automatic knowledgebase construction, question answering, textual entailment, search engine etc. Therefore specific algorithms and pre processing approaches are required for relation extraction among various entities. This paper presents review on relation classification and discusses and analyzes the enhancement of convolutional neural network (CNN) as an algorithm for semantic relation classification tasks..