Extraction of information from unstructured text

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Description

Extracting information from unstructured text has become an emphasis in recent years due to the large amount of text now electronically available. This status report describes the findings and work done by the end of the first year of a two-year LDRD. Requirements of the approach included that it model the information in a domain independent way. This means that it would differ from current systems by not relying on previously built domain knowledge and that it would do more than keyword identification. Three areas that are discussed and expected to contribute to a solution include (1) identifying key entities ... continued below

Physical Description

23 p.

Creation Information

Irwin, N.H.; DeLand, S.M. & Crowder, S.V. November 1, 1995.

Context

This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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Publisher

  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

Extracting information from unstructured text has become an emphasis in recent years due to the large amount of text now electronically available. This status report describes the findings and work done by the end of the first year of a two-year LDRD. Requirements of the approach included that it model the information in a domain independent way. This means that it would differ from current systems by not relying on previously built domain knowledge and that it would do more than keyword identification. Three areas that are discussed and expected to contribute to a solution include (1) identifying key entities through document level profiling and preprocessing, (2) identifying relationships between entities through sentence level syntax, and (3) combining the first two with semantic knowledge about the terms.

Physical Description

23 p.

Notes

OSTI as DE96003216

Source

  • Other Information: PBD: Nov 1995

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Identifier

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  • Other: DE96003216
  • Report No.: SAND--95-2532
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/148697 | External Link
  • Office of Scientific & Technical Information Report Number: 148697
  • Archival Resource Key: ark:/67531/metadc625727

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Office of Scientific & Technical Information Technical Reports

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Creation Date

  • November 1, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

Description Last Updated

  • April 14, 2016, 3:52 p.m.

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Citations, Rights, Re-Use

Irwin, N.H.; DeLand, S.M. & Crowder, S.V. Extraction of information from unstructured text, report, November 1, 1995; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc625727/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.