DocumentCode :
2818017
Title :
A Computational Effective Document Semantic Representation
Author :
Williams, Robert
Author_Institution :
Curtin Univ. of Technol., Perth
fYear :
2007
fDate :
21-23 Feb. 2007
Firstpage :
410
Lastpage :
415
Abstract :
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 sentence 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 document summarisation 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.
Keywords :
indexing; text analysis; thesauri; automated essay grading; document semantic representation; document sentence clause slot; document summarisation; meta level meaning; noun phrase; sentence semantics; text document; thesaurus head word index numbers; verb clause; Australia; Ecosystems; Information systems; Logic; Natural language processing; Robustness; Thesauri; automated essay grading; document semantic representation; document summarisation; meta level meaning; thesaurus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital EcoSystems and Technologies Conference, 2007. DEST '07. Inaugural IEEE-IES
Conference_Location :
Cairns
Print_ISBN :
1-4244-0470-3
Electronic_ISBN :
1-4244-0470-3
Type :
conf
DOI :
10.1109/DEST.2007.372007
Filename :
4233741
Link To Document :
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