Extraction of information from unstructured text

Irwin, N H; DeLand, S M; Crowder, S V

doi:10.2172/148697

Title: Extraction of information from unstructured text

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Abstract

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.

Authors:: Irwin, N H; DeLand, S M; Crowder, S V

Publication Date:: Wed Nov 01 00:00:00 EST 1995

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE, Washington, DC (United States)

OSTI Identifier:: 148697

Report Number(s):: SAND-95-2532
ON: DE96003216

DOE Contract Number:: AC04-94AL85000

Resource Type:: Technical Report

Resource Relation:: Other Information: PBD: Nov 1995

Country of Publication:: United States

Language:: English

Subject:: 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; INFORMATION SYSTEMS; DATA BASE MANAGEMENT; INFORMATION THEORY; INFORMATION RETRIEVAL; DOCUMENT TYPES

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                    Irwin, N H, DeLand, S M, and Crowder, S V. Extraction of information from unstructured text.  United States: N. p., 1995. 
        Web.  doi:10.2172/148697.

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                    Irwin, N H, DeLand, S M, & Crowder, S V. Extraction of information from unstructured text.  United States.  https://doi.org/10.2172/148697

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                    Irwin, N H, DeLand, S M, and Crowder, S V. 1995.  
        "Extraction of information from unstructured text".  United States.  https://doi.org/10.2172/148697.  https://www.osti.gov/servlets/purl/148697.

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@article{osti_148697,

  title        = {Extraction of information from unstructured text},

  author       = {Irwin, N H and DeLand, S M and Crowder, S V},

  abstractNote = {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.},

  doi          = {10.2172/148697},

  url          = {https://www.osti.gov/biblio/148697},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Nov 01 00:00:00 EST 1995},

  month        = {Wed Nov 01 00:00:00 EST 1995}

}

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