This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

The vast majority of previous studies in authorship attribution assume the existence of
documents (or parts of documents) labeled by authorship to be used as training instances in …

We describe the winning system for the PAN@ CLEF 2018 task on Style Change Detection.
Given a document, the goal is to determine whether it contains style change. We present our …

In this paper, we propose a novel idea to solve the problem of Author Clustering which is
introduced in PAN-2017 Author Identification task. First, we use word embeddings that …

Identifying academic plagiarism is a pressing problem, among others, for research
institutions, publishers, and funding organizations. Detection approaches proposed so far …

This paper presents our approach to the Author Clustering task at PAN 2017. We performed
a hierarchical clustering analysis of different document features: typed and untyped …

Identifying the authorship either of an anonymous or a doubtful document constitutes a
cornerstone for automatic forensic applications. Moreover, it is a challenging task for both …

This work was supported by the EU ESF grant CZ. 02.2. 69/0.0/0.0/16_027/0007953
“MENDELU international development.” Authors' addresses: T. Foltýnek, Department of …