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Noviari Sugianto
Pengembangan sistem ekstraksi informasi berbahasa Indonesia
An enourmous amount of information exists only in
a natural language form. If this information is
to be automatically manipulated and analyzed, it
must first be distilled into a more structured
form. Information extraction refers to the
problem of finding useful information in a
collection of texts, and encoding that
information in a format suitable for
incorporation into a database. Until now, there
is little interest in developing information in a
format suitable for incorporation into a
database. Until now, there is little interest in
developing information extraction systems for
Indonesian language. Information extraction
system for Indonesian language offer hte
potensial of analyzing information from a
collection of Indonesian texts. Therefore, this
research builds an information extraction system
for Indonesian language. This information
extraction system is called SEIBI (Sistem
Ekstraksi Informasi Berbahasa Indonesia -
information extraction system for Indonesian
language). SEIBI is built based on CIRCUS
[LEHN93]. The scope of this research was limited
to build information extraction system that
extracts the goal, the scope of the work, and the
conclusion from the collections of Undergraduate
thesis's abstracts at Faculty of COmputer Science
University of Indonesia. SEIBI was able to
extracts 56 goal...
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