Exactus like: Plagiarism detection in scientific texts

Ilya Sochenkov, Denis Zubarev, Ilya Tikhomirov, Ivan Smirnov, Artem Shelmanov, Roman Suvorov, Gennady Osipov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


The paper presents an overview of Exactus Like – a plagiarism detection system. Deep parsing for text alignment helps the system to find moderate forms of disguised plagiarism. The features of the system and its advantages are discussed. We describe the architecture of the system and present its performance.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Proceedings
EditorsMarie-Francine Moens, Nicola Ferro, Gianmaria Silvello, Giorgio Maria di Nunzio, Claudia Hauff, Fabio Crestani, Josiane Mothe, Fabrizio Silvestri
PublisherSpringer Verlag
Number of pages4
ISBN (Print)9783319306704
Publication statusPublished - 2016
Externally publishedYes
Event38th European Conference on Information Retrieval Research, ECIR 2016 - Padua, Italy
Duration: 20 Mar 201623 Mar 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference38th European Conference on Information Retrieval Research, ECIR 2016


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