Automatic Text Generations Using Lexical Chaining

Lexical chains are defined as clusters of semantically related words. For the Text Generation the lexical chain are very important and the lexical chains are created using the WordNet database. The aim of this paper is to finds the new relation such as statistical word associations for the lexical chaining process. The statistical word associations represents an additional type of lexical cohesive relationship that is not found in WordNet. The architecture also recognizes the gloss definitions which identifies the relations between two concepts not directly related.