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Extracting Significant Information from
Natural-Language
Text with combining it in form of user pattern.
Igor P. Kuznetsov
I.P., Matskevich A.G.
Moscow, Institute for Informatics Problems of
the Russian Academy of Sciences
(igor-kuz@mtu-net.ru)
ABSTRACT
A system for extracting significant information from natural language
text in Russian is considered. The system uses the methods which is based on the
fact that the usual texts abounding synonymous ways of expressing the same
content. This kind of system should be provided with the features for
recognizing word combinations of same meaning, for object identification, for
analysis of word role in object description and so on.
The paper describes an approach to a
linguistic processor providing morphological, syntactical and context analyses
on the level of semantic networks. The further processing is performed by
logical-analytical means and methods which are based on the conception of
semantic filters. They use the SUB-tree and semantic space of words for
searching the significant information from free text