Abstract:
This paper considers an approach
to resolving referential relations
when extracting information from a
text. The proposed approach is an
attempt to integrate the multifactorial
model of the activation coefficient
with the approach to resolving the
referential ambiguity of the text
when replenishing the ontology. The
found objects are compared based
on an assessment of the proximity
of attributes and relationships of
objects. An ontological interpretation
of relations and measures of similarity
of attributes based on a multifactorial
model is proposed. This model
is distinguished by the fact that it
makes it possible to introduce the
concepts of "rhetorical distance",
"linear distance", "animation",
"distance between paragraphs", and
"syntactic and semantic role of the
antecedent". A multifactorial model
is proposed, which is a necessary and
sufficient component for the purpose
of explaining the measure of similarity
of referents for choosing the best
applicant. The counting system and
its modification were revealed by trial
and error; the work was carried out
until the selected numerical weights
began to explain all the available
material. The current study also
examines the factors of choice of
reference devices that make it possible
to work with complex sentences and
texts. Moreover, examples of finding a
measure of proximity in a multilingual
system for the Kazakh, Russian, and
English languages are offered. For the
current paper, texts in the Russian,
English, and Kazakh languages were
used as a source for practical tasks.
The texts were selected using news
articles on the Internet sites where
translations into other languages,
including those named above, were
offered.
The authors of this study have
done massive practical work, which
confirms the correctness of the thesis
they are considering
