Extraction of Indicative Summary Sentences from Imaged Documents

  title={Extraction of Indicative Summary Sentences from Imaged Documents},
  author={Francine Chen and Dan S. Bloomberg},
A system for selecting sentences from an imaged document for presentation as part of a document summary is presented. The extracts are identified without the use of optical character recognition. The sentences are selected based on a set of discrete features characterizing the words within a sentence and the location of the sentence within the imaged document. Each sentence is scored based on the values of the discrete features using a statisticallybased classifier. The imaged document is… CONTINUE READING
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Extraction of Thematically Relevant Text from Images

F. R. Chen, D. S. Bloomberg
Proceedings of the Fifth Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, NV, pp. 163-178, April 1996. • 1996
View 2 Excerpts

A statistical approach to automatic text extraction

L. C. Tong, S. L. Tan
Asian Library Journal, 3(1), pp. 46-54, Mar 1993. • 1993
View 1 Excerpt

Discourse modelling for automatic summarising

K. Sparck Jones
Technical Report 29D, Computer Laboratory, University of Cambridge, 1993. • 1993
View 1 Excerpt

The use of emphasis to automatically summarize a spoken discourse

F. R. Chen, M. M. Withgott
Proceedings of the IEEE Intl. Conf. on Acoust., Speech and Signal Proc., vol. 1, pp. 229-232, March 1992. • 1992
View 1 Excerpt

The formation of abstracts by the selection of sentences: Part II. The reliability of people in selecting sentences

A. Resnick
American Documentation, 12(2): 141-143, April 1961. • 1961
View 1 Excerpt

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