CONSTRUCTION OF AUTOMATED SYSTEM FOR INFORMATION EXTRACTION AND TEXT CATEGORIZATION

Abstract

This paper presents a research on the field of AI via studying machine learning for natural language understanding. One important part of the process of understanding a text consists on apprehending its underlying interrelations of concepts [1]. Learning is to gain knowledge or understanding or skill in by study instruction or experience and modification of behavioral tendency by experience. We might say, very broadly that a machine learns when it changes its structure, or program, or data (based on its inputs or in response to external information) in such a manner that its expected future performance improves.The proposed system aims to extracts concepts from text written in English natural language text. In spite of the complexity of English language the proposed system offer intelligent user interactive interface that create structured query and complete the concepts relations before extracting the desired information from one or a lot of documents in specific domain in the form of templates consist a number of slots using inductive logic programming (ILP).

Keywords:
(AI: Artificial Intelligence,ILP: Inductive logic programming),(ATN: augmented transition network),(POS: part of speech tagging),(Entropy