Despite decades of research on authorship attribution (AA) and authorship verification (AV),
inconsistent dataset splits/filtering and mismatched evaluation methods make it difficult to …

This paper presents preliminary results of using authorship attribution methods for the
detection of sockpuppeteering in Wikipedia. Sockpuppets are fake accounts created by …

Ambiguity in discourse is pervasive, yet mechanisms of production and processing suggest
that it tends to be compensated in context. The present study sets out to analyze the …

Authorship attribution is the task of assigning an unknown document to an author from a set
of candidates. In the past, studies in this field use various evaluation datasets to demonstrate …

This paper describes the corpus of sockpuppet cases we gathered from Wikipedia. A
sockpuppet is an online user account created with a fake identity for the purpose of covering …

In this paper, we describe experiments conducted on identifying a person using a novel
unique correlated corpus of text and audio samples of the person's communication in six …

Determining the author of a text is a difficult task. Here, we compare multiple Artificial
Intelligence techniques for classifying literary texts written by multiple authors by taking into …

Language models are aligned to emulate the collective voice of many, resulting in outputs
that align with no one in particular. Steering LLMs away from generic output is possible …

This corpus-based study investigates the inter-relation between discourse markers (DMs)
and other contextual signals that contribute to the interpretation of coherence relations. The …

Speakers have several options when they express a discourse relation: they can leave it
implicit, or make it explicit, usually through a connective. Although not all connectives can go …