From rhetorical structures to document structure: shallow pragmatic analysis for document engineering

Hdl Handle:
http://hdl.handle.net/10149/91085
Title:
From rhetorical structures to document structure: shallow pragmatic analysis for document engineering
Authors:
Georg, G. (Gersende); Hernault, H. (Hugo); Cavazza, M. O. (Marc); Prendinger, H. (Helmut); Ishizuka, M. (Mitsuru)
Affiliation:
University of Teesside
Citation:
Georg, G. et al. (2009) 'From rhetorical structures to document structure: shallow pragmatic analysis for document engineering', Proceedings of the 9th ACM symposium on document engineering, 2009, Munich, Germany, September 15 - 18. New York: ACM, pp.185-192.
Publisher:
Association for Computing Machinary
Conference:
Proceedings of the 9th ACM symposium on document engineering, 2009, Munich, Germany, September 15 - 18.
Issue Date:
2009
URI:
http://hdl.handle.net/10149/91085
DOI:
http://doi.acm.org/10.1145/1600193.1600235
Abstract:
In this paper, the authors extend previous work on the automatic structuring of medical documents using content analysis. Their long-term objective is to take advantage of specific rhetoric markers encountered in specialized medical documents (clinical guidelines) to automatically structure free text according to its role in the document. This should enable to generate multiple views of the same document depending on the target audience, generate document summaries, as well as facilitating knowledge extraction from text. The authors have established in previous work that the structure of clinical guidelines could be refined through the identification of a limited set of deontic operators. They now propose to extend this approach by analyzing the text delimited by these operators using Rhetorical Structure Theory. The emphasis on causality and time in RST proves a powerful complement to the recognition of deontic structures while retaining the same philosophy of high-level recognition of sentence structure, which can be converted into applicationspecific mark-ups. Throughout the paper, the authors illustrate their findings through results produced by the automatic processing of English guidelines for the management of hypertension and Alzheimer disease.
Type:
Meetings and Proceedings
Language:
en
Keywords:
medical document processing; natural language processing; document structure; rhetorical structure
ISBN:
9781605585758
Rights:
ACM allows authors' version of their own ACM-copyrighted work on their personal server or on servers belonging to their employers. For full details see http://www.acm.org/publications/policies/RightsResponsibilities [Accessed 03/02/2010]
Citation Count:
0 [Scopus, 03/02/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorGeorg, G. (Gersende)en
dc.contributor.authorHernault, H. (Hugo)en
dc.contributor.authorCavazza, M. O. (Marc)en
dc.contributor.authorPrendinger, H. (Helmut)en
dc.contributor.authorIshizuka, M. (Mitsuru)en
dc.date.accessioned2010-02-03T16:01:26Z-
dc.date.available2010-02-03T16:01:26Z-
dc.date.issued2009-
dc.identifier.isbn9781605585758-
dc.identifier.doihttp://doi.acm.org/10.1145/1600193.1600235-
dc.identifier.urihttp://hdl.handle.net/10149/91085-
dc.description.abstractIn this paper, the authors extend previous work on the automatic structuring of medical documents using content analysis. Their long-term objective is to take advantage of specific rhetoric markers encountered in specialized medical documents (clinical guidelines) to automatically structure free text according to its role in the document. This should enable to generate multiple views of the same document depending on the target audience, generate document summaries, as well as facilitating knowledge extraction from text. The authors have established in previous work that the structure of clinical guidelines could be refined through the identification of a limited set of deontic operators. They now propose to extend this approach by analyzing the text delimited by these operators using Rhetorical Structure Theory. The emphasis on causality and time in RST proves a powerful complement to the recognition of deontic structures while retaining the same philosophy of high-level recognition of sentence structure, which can be converted into applicationspecific mark-ups. Throughout the paper, the authors illustrate their findings through results produced by the automatic processing of English guidelines for the management of hypertension and Alzheimer disease.en
dc.language.isoenen
dc.publisherAssociation for Computing Machinaryen
dc.rightsACM allows authors' version of their own ACM-copyrighted work on their personal server or on servers belonging to their employers. For full details see http://www.acm.org/publications/policies/RightsResponsibilities [Accessed 03/02/2010]en
dc.subjectmedical document processingen
dc.subjectnatural language processingen
dc.subjectdocument structureen
dc.subjectrhetorical structureen
dc.titleFrom rhetorical structures to document structure: shallow pragmatic analysis for document engineeringen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Teessideen
dc.identifier.conferenceProceedings of the 9th ACM symposium on document engineering, 2009, Munich, Germany, September 15 - 18.en
ref.citationcount0 [Scopus, 03/02/2010]en
or.citation.harvardGeorg, G. et al. (2009) 'From rhetorical structures to document structure: shallow pragmatic analysis for document engineering', Proceedings of the 9th ACM symposium on document engineering, 2009, Munich, Germany, September 15 - 18. New York: ACM, pp.185-192.-
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