摘要(英) |
In the past, information was stored more or less well-structured
in database. Nowadays, a lot of information is presented in unstructured
format. The management of and retrieval from such large vast of
textual information has been a challenging issue for organizations
or individuals. Information extraction is the process of extracting
relevant data from semi-structured or unstructured documents and
transforming them into structured representations. Many information
extraction learning techniques have been proposed. However, they
are ineffectiveness on unstructured documents. Thus, in the research,
we proposed a new information extraction learning algorithm, called
LIEF, that enhancing existing information extraction learning techniques.
According to the empirical evaluations on news documents that are
unstructured format, the LIEF algorithm proposed showed its capabilities
in accuracy rate.
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