36 citations · 154 across the 55 of their papers we have counts for
9 papers · 1 filter
Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance
Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp +1
Through Ecological Momentary Assessment (EMA) studies, a number of time-series data is collected across multiple individuals, continuously monitoring various items of emotional beh…
Larth: Dataset and Machine Translation for Etruscan
Gianluca Vico, Gerasimos Spanakis
Etruscan is an ancient language spoken in Italy from the 7th century BC to the 1st century AD. There are no native speakers of the language at the present day, and its resources ar…
Regulation and NLP (RegNLP): Taming Large Language Models
Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis +2
The scientific innovation in Natural Language Processing (NLP) and more broadly in artificial intelligence (AI) is at its fastest pace to date. As large language models (LLMs) unle…
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements
Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck +1
Human trafficking (HT) is a pervasive global issue affecting vulnerable individuals, violating their fundamental human rights. Investigations reveal that a significant number of HT…
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
Many individuals are likely to face a legal dispute at some point in their lives, but their lack of understanding of how to navigate these complex issues often renders them vulnera…
Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media
Fabio Barbero, Sander op den Camp, Kristian van Kuijk +3
Coordinated multi-platform information operations are implemented in a variety of contexts on social media, including state-run disinformation campaigns, marketing strategies, and…