The Resource Unsupervised information extraction by text segmentation, Eli Cortez, Altigran S. da Silva, (electronic resource)

Unsupervised information extraction by text segmentation, Eli Cortez, Altigran S. da Silva, (electronic resource)

Label
Unsupervised information extraction by text segmentation
Title
Unsupervised information extraction by text segmentation
Statement of responsibility
Eli Cortez, Altigran S. da Silva
Creator
Contributor
Sponsoring body
Subject
Language
eng
Summary
A new unsupervised approach to the problem of Information Extraction by Text Segmentation (IETS) is proposed, implemented and evaluated herein. The authors' approach relies on information available on pre-existing data to learn how to associate segments in the input string with attributes of a given domain relying on a very effective set of content-based features. The effectiveness of the content-based features is also exploited to directly learn from test data structure-based features, with no previous human-driven training, a feature unique to the presented approach
Member of
Cataloging source
EBLCP
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
SpringerBriefs in Computer Science
Label
Unsupervised information extraction by text segmentation, Eli Cortez, Altigran S. da Silva, (electronic resource)
Link
http://dx.doi.org/10.1007/978-3-319-02597-1
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Color
multicolored
Contents
  • Related Work
  • Exploiting Pre-Existing Datasets to Support IETS
  • ONDUX
  • JUDIE
  • iForm
  • Conclusions and Future Work
Control code
ocn863823107
Dimensions
unknown
Extent
1 online resource (xv, 94 p.)
File format
unknown
Form of item
online
Isbn
9783319025971
Isbn Type
(electronic bk.)
Level of compression
unknown
Other control number
10.1007/978-3-319-02597-1
Other physical details
ill.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)863823107

Library Locations

    • ERDC - Hanover (US Army Engineer Research and Development Center) Borrow it
      72 Lyme Road, Hanover, NH, 03755-1290, US
      43.7279642 -72.2684934
Processing Feedback ...