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Source Retrieval for a Document Using Models of Distributive Semantics

Authors: Kreskin A.D.;

Source Retrieval for a Document Using Models of Distributive Semantics

Abstract

В статье предложен метод выявления источников заимствований для документа, использующий модель дистрибутивной семантики для формирования множества запросов к поисковой машине. Рассмотрены основные способы выявления заимствований и их источников. Показано, как выделить из документа запросы для поиска источников, используя векторное пространство, построенное на большом корпусе текстов при помощи инструмента Word2Vec. Приведены результаты работы метода.

This paper is about method for identifying sources of plagiarism for a document, using a model of distributive semantics to form a set of queries to a search engine. The main ways of revealing plagiarisms and their sources are considered. It shows how to select queries from the document to search for sources using a vector space built on a large body of texts using the Word2Vec tool. The results of method's work are presented.

Keywords

антиплагиат, выявление заимствований, дистрибутивная семантика, word2vec, source retrieval, distributive semantic, plagiarism detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green