Current privacy research on large language models (LLMs) primarily focuses on the issue of
extracting memorized training data. At the same time, models' inference capabilities have …

To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

Abstract Native Language Identification, or NLI, is the task of automatically classifying the L1
of a writer based solely on his or her essay written in another language. This problem area …

Personality is a fundamental component of an individual's affective behavior. Previous work
on personality classification has emerged from disparate sources: Varieties of algorithms …

This paper proposes demographic estimation algorithms for profiling Twitter users, based on
their tweets and community relationships. Many people post their opinions via social media …

Abstract Native Language Identification (NLI) is the task of automatically identifying the
native language (L1) of an individual based on their language production in a learned …

We present an approach to automatically recover hidden attributes of scientific articles, such
as whether the author is a native English speaker, whether the author is a male or a female …

We present the first comprehensive survey of Native Language Identification (NLI) applied to
texts. NLI is the task of automatically identifying an author's native language (L1) based on …

This paper presents a Native Language Identification (NLI) system based on TF-IDF
weighting schemes and using linear classifiers-support vector machines, logistic …

In this paper, we describe the participation of the Language Technologies Lab of INAOE at
PAN 2015. According to the Author Profiling (AP) literature. In this paper we take such …