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 …

In recent years, the task of generating realistic short and long texts have made tremendous
advancements. In particular, several recently proposed neural network-based language …

This software paper describes 'Stylometry with R'(stylo), a flexible R package for the
highlevel analysis of writing style in stylometry. Stylometry (computational stylistics) is …

The issue of authorship attribution has long been considered and continues to be a popular
topic. Because of advances in digital computers, this field has experienced rapid …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …

Character n-grams have been identified as the most successful feature in both singledomain
and cross-domain Authorship Attribution (AA), but the reasons for their discriminative value …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …

In this paper, we describe experiments designed to evaluate the impact of stylometric and
emotion-based features on hate speech detection: the task of classifying textual content into …

In this paper, we shed new light on the authenticity of the Corpus Caesarianum, a group of
five commentaries describing the campaigns of Julius Caesar (100–44 BC), the founder of …

Authorship analysis is the process of determining who produced a questioned text by
language analysis. Although there has been significant success in the performance of …