A computational effective document semantic representation
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 sentence...
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| Format: | Conference Paper |
| Published: |
IEEE
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/7777 |
| _version_ | 1848745468011479040 |
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| author | Williams, Robert |
| author_facet | Williams, Robert |
| author_sort | Williams, Robert |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:17:50Z |
| format | Conference Paper |
| id | curtin-20.500.11937-7777 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:17:50Z |
| publishDate | 2007 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-77772017-09-13T16:05:52Z A computational effective document semantic representation Williams, Robert thesaurus meta level meaning document semantic representation document summarisation automated essay grading 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. 2007 Conference Paper http://hdl.handle.net/20.500.11937/7777 10.1109/DEST.2007.372007 IEEE fulltext |
| spellingShingle | thesaurus meta level meaning document semantic representation document summarisation automated essay grading Williams, Robert A computational effective document semantic representation |
| title | A computational effective document semantic representation |
| title_full | A computational effective document semantic representation |
| title_fullStr | A computational effective document semantic representation |
| title_full_unstemmed | A computational effective document semantic representation |
| title_short | A computational effective document semantic representation |
| title_sort | computational effective document semantic representation |
| topic | thesaurus meta level meaning document semantic representation document summarisation automated essay grading |
| url | http://hdl.handle.net/20.500.11937/7777 |