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Information Extraction

abbreviation(s): IE
definition: The goal of information extraction (IE) is to build systems that find and link relevant information from natural language text ignoring irrelevant information. The information of interest is typically pre-specified in form of uninstantiated frame-like structures also called templates. The templates are domain and task specific. The major task of an IE-system is then the identification of the relevant parts of the text which are used to fill a template's slots.
See also the corresponding HLT Survey chapter: http://www.lt-world.org/HLT_Survey/ltw-chapter7-3.pdf
related project(s):
  • Finite-State Automa-based Text Understanding System (Fastus)
  • System for Large Scale Information Extraction (LaSIE)
  • Proteus
  • Genome Information Extraction (GenIE)
  • Whiteboard
  • Parameterizable Domain-Adaptive Information and Message Extraction (PARADIME)
related organisation(s):
  • Text Analysis International Inc.
  • Center for Automated Learning and Discovery (CALD)
  • Language Technology Lab (LT Lab)
  • Inxight Software
  • Compris Intelligence GmbH (Compris.com)
  • SRI AI Labs (AIC)
  • insiders technologies GmbH
  • University of Sheffield
related person(s):
  • Günter Neumann
  • Hamish Cunningham
  • Ralph Grishman
  • Robert Gaizauskas
  • Yorick Wilks
  • Douglas E. Appelt
  • Tom Mitchell
  • Ellen Riloff
  • Dayne Freitag
related system(s) / resource(s):
  • FactMiner
  • Textpro
  • GATE
related publication(s):

FASTUS: A Cascaded Finite-State Transducer for Extracting Information from Natural-Language Text.
Hobbs, Appelt, Bear, Israel, Kameyama, Stickel and Tyson.
Roche and Schabes. MIT Press. Cambridge MA. 1996.

Maximum entropy Markov models for information extraction and segmentation.
A. McCallum, D. Freitag, and F. Pereira. 2000.

SRA: Description of the IE-System used for MUC-7.
Chinatsu Aone and Lauren Halverson and Tom Hampton and Mila Ramos-Santacruz.
Proceedings of MUC-7. 1998.

Message Understanding Conference -- 6: A Brief History.
R. Grishman and B. Sundheim.
coling96. Kopenhagen, Denmark, Europe. 1996.

An Information Extraction Core System for Real World German Text Processing.
G. Neumann and R. Backofen and J. Baur and M. Becker and C. Braun.
anlp97. Washington, USA. March 1997.

Unsupervised Discovery of Scenario-Level Patterns for Information Extraction.
R. Yangarber and R. Grishman and P. Tapanainen and S. Huttunen.
Proceedings of the 6th ANLP. Seattle, USA. April 2000.

The Generic Information Extraction System.
J. Hobbs.

FASTUS: A Finite State Processor for Information Extraction from Real World Text.
D. Appelt and J. Hobbs and J. Bear and D. Israel and M. Tyson.
ijcai93. Chambery, France. August 1993.

Information Extraction.
J.Cowie and W.Lehnert.
Communications of the ACM. 39 (1). 1996. 51-87.