The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi
hotspots, and distributed networks like Tor has drastically complicated the task of identifying …

Statistical authorship attribution has a long history, culminating in the use of modern
machine learning classification methods. Nevertheless, most of this work suffers from the …

In the Information Technology era information plays vital role in every sphere of the human
life. It is very important to gather data from different data sources, store and maintain the …

This study is a survey and classification of the state-of-the-art in behavioural biometrics
which is based on skills, style, preference, knowledge, motor-skills or strategy used by …

The author identification task at PAN-2014 focuses on author verification. Similar to PAN-
2013 we are given a set of documents by the same author along with exactly one document …

Automatic authorship identification offers a valuable tool for supporting crime investigation
and security. It can be seen as a multi-class, single-label text categorization task. Character …

In the authorship verification problem, we are given examples of the writing of a single
author and are asked to determine if given long texts were or were not written by this author …

Authorship attribution is associated with important applications in forensics and humanities
research. A crucial point in this field is to quantify the personal style of writing, ideally in a …

In this paper we investigate the linguistic knowledge learned by a Neural Language Model
(NLM) before and after a fine-tuning process and how this knowledge affects its predictions …

In this paper, we introduce Profiling–UD, a new text analysis tool inspired to the principles of
linguistic profiling that can support language variation research from different perspectives. It …