4 citations · 11 across the 22 of their papers we have counts for
8 papers · 1 filter
Hate Speech According to the Law: An Analysis for Effective Detection
Katerina Korre, John Pavlopoulos, Paolo Gajo +1
The issue of hate speech extends beyond the confines of the online realm. It is a problem with real-life repercussions, prompting most nations to formulate legal frameworks that cl…
Leveraging LLMs for Translating and Classifying Mental Health Data
Konstantinos Skianis, A. Seza Doğruöz, John Pavlopoulos
Large language models (LLMs) are increasingly used in medical fields. In mental health support, the early identification of linguistic markers associated with mental health conditi…
Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges
Konstantinos Skianis, John Pavlopoulos, A. Seza Doğruöz
Large Language Models (LLMs) are increasingly being integrated into various medical fields, including mental health support systems. However, there is a gap in research regarding t…
A New Framework for Error Analysis in Computational Paleographic Dating of Greek Papyri
Giuseppe De Gregorio, Lavinia Ferretti, Rodrigo C. G. Pena +3
The study of Greek papyri from ancient Egypt is fundamental for understanding Graeco-Roman Antiquity, offering insights into various aspects of ancient culture and textual producti…
Evaluating the Reliability of Self-Explanations in Large Language Models
Korbinian Randl, John Pavlopoulos, Aron Henriksson +1
This paper investigates the reliability of explanations generated by large language models (LLMs) when prompted to explain their previous output. We evaluate two kinds of such self…
A Systematic Survey of Natural Language Processing for the Greek Language
Juli Bakagianni, Kanella Pouli, Maria Gavriilidou +1
Comprehensive monolingual Natural Language Processing (NLP) surveys are essential for assessing language-specific challenges, resource availability, and research gaps. However, exi…
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
Korbinian Randl, John Pavlopoulos, Aron Henriksson +1
Contaminated or adulterated food poses a substantial risk to human health. Given sets of labeled web texts for training, Machine Learning and Natural Language Processing can be app…
Revisiting Silhouette Aggregation
John Pavlopoulos, Georgios Vardakas, Aristidis Likas
Silhouette coefficient is an established internal clustering evaluation measure that produces a score per data point, assessing the quality of its clustering assignment. To assess…