A computational effective document semantic representation
MetadataShow full item record
Copyright 2007 IEEE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
A technique based on Noun Phrase and Verb Clause slot structures is described for representing the semantics of the sentences making up a text document. Thesaurus head word index numbers are placed in the appropriate document sentense clause slots to represent the meta level meaning of the sentences. Many different expressions of the same document content can thus be represented by one semantic representation. An implementation of such a technique is described, and sample output is presented. The doument summrisation thus produced is suitable for manipulation by computers for a variety of document processing tasks. The technique has primarily been developed for an Automated Essay Grading system, where a robust context free representation of documents is required.
Showing items related by title, author, creator and subject.
Nazemi, Azadeh; Murray, Iain; McMeekin, David (2014)This paper describes part of an ongoing comprehensive research project that is aimed at generating a MathML format from images of mathematical expressions that have been extracted from scanned PDF documents. A MathML ...
Chang, Elizabeth; Tan, H.; Dillon, Tharam S.; Feng, L.; Hadzic, Fedja (2005)An XML enabled framework for representation of association rules in databases was first presented in [Feng03]. In Frequent Structure Mining (FSM), there are techniques proposed to mine frequent patterns from complex trees ...
Tan, Henry; Hadzic, Fedja; Dillon, Tharam S.; Chang, Elizabeth; Feng, Ling; Feng, L. (2008)Due to the inherent flexibilities in both structure and semantics, XML association rules mining faces few challenges, such as: a more complicated hierarchical data structure and ordered data context. Mining frequent ...