In:
Annals of the New York Academy of Sciences, Wiley, Vol. 980, No. 1 ( 2002-12), p. 247-258
Abstract:
A bstract : Medical information is available from a variety of new online resources. Given the number and diversity of sources, methods must be found that will enable users to quickly assimilate and determine the content of a document. Summarization is one such tool that can help users to quickly determine the main points of a document. Previous methods to automatically summarize text documents typically do not attempt to infer or define the content of a document. Rather these systems rely on secondary features or clues that may point to content. This paper describes text summarization techniques that enable users to focus on the key content of a document. The techniques presented here analyze groups of similar documents in order to form a content model. The content model is used to select sentences forming the summary. The technique does not require additional knowledge sources; thus the method should be applicable to any set of text documents.
Type of Medium:
Online Resource
ISSN:
0077-8923
,
1749-6632
DOI:
10.1111/nyas.2002.980.issue-1
DOI:
10.1111/j.1749-6632.2002.tb04901.x
Language:
English
Publisher:
Wiley
Publication Date:
2002
detail.hit.zdb_id:
2834079-6
detail.hit.zdb_id:
211003-9
detail.hit.zdb_id:
2071584-5
SSG:
11
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