Acquiring Textual Relations Automatically on the Web using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{bergstrom:2000:atrawGP,
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author = "Agneta Bergstrom and Patricija Jaksetic and
Peter Nordin",
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title = "Acquiring Textual Relations Automatically on the Web
using Genetic Programming",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2000",
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year = "2000",
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editor = "Riccardo Poli and Wolfgang Banzhaf and
William B. Langdon and Julian F. Miller and Peter Nordin and
Terence C. Fogarty",
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volume = "1802",
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series = "LNCS",
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pages = "237--246",
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address = "Edinburgh",
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publisher_address = "Berlin",
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month = "15-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming: Poster",
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ISBN = "3-540-67339-3",
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DOI = "doi:10.1007/978-3-540-46239-2_17",
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abstract = "The flood of electronic information is pouring over
us, while the technology maintaining the information
and making it available to us has not yet been able to
catch up. One of the paradigms within information
retrieval focuses on the use of thesauruses to analyse
contextual/structural information. We have explored a
method that automatically finds textual relations in
electronic documents using genetic programming and
semantic networks. Such textual relations can be used
to extend and update thesauruses as well as semantic
networks. The program is written in PROLOG and
communicates with software for natural language
parsing. The system is also an example of
computationally expensive fitness function using a
large database. The results from the experiment show
feasibility for this type of automatic relation
extraction.",
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notes = "EuroGP'2000, part of \cite{poli:2000:GP}",
- }
Genetic Programming entries for
Agneta Bergstrom
Patricija Jaksetic
Peter Nordin
Citations