Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

We present the results and the main findings of SemEval-2020 Task 11 on Detection of
Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is …

Plagiarism can be of many different natures, ranging from copying texts to adopting ideas,
without giving credit to its originator. This paper presents a new taxonomy of plagiarism that …

The need for appropriate applications of the various similarity measures for clustering has
arisen over the years as data massively keep on increasing. The issue of deciding which …

Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture
human sentiment in the given text. With the ever-spreading of online purchasing websites …

The problem of academic plagiarism has been present for centuries. Yet, the widespread
dissemination of information technology, including the internet, made plagiarising much …

In this paper a novel method for detecting plagiarized passages in document collections is
presented. In contrast to previous work in this field that uses content terms to represent …

This study provides evidence on relative magnitudes of factors that appear to drive 10-K
length. We employ statistical analysis and text analysis software to partition 10-K length into …

Computational Forensic Linguistics: An Overview of Computational Applications in Forensic
Contexts Page 1 Computational Forensic Linguistics: An Overview of Computational …

To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms
and classes, and existence of various tools and systems for its detection. Based on impact or …