From the 1 of 7 linked papers with an AI index.
7 papers
Creative Transformation in Literary Texts: Modelling Change Across Representational Levels
Ioana-Roxana Boriceanu, Liviu P. Dinu
The paper proposes a computational framework that quantifies how literary works transform earlier texts across lexical, semantic, conceptual, structural, and narrative levels, usin…
PsihoRo: Depression and Anxiety Romanian Text Corpus
Alexandra Ciobotaru, Ana-Maria Bucur, Liviu P. Dinu
Psychological corpora in NLP are collections of texts used to analyze human psychology, emotions, and mental health. These texts allow researchers to study psychological constructs…
Measuring cross-language intelligibility between Romance languages with computational tools
Liviu P Dinu, Ana Sabina Uban, Bogdan Iordache +2
We present an analysis of mutual intelligibility in related languages applied for languages in the Romance family. We introduce a novel computational metric for estimating intellig…
Few-shot text-based emotion detection
Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
This paper describes the approach of the Unibuc - NLP team in tackling the SemEval 2025 Workshop, Task 11: Bridging the Gap in Text-Based Emotion Detection. We mainly focused on ex…
Datasets for Depression Modeling in Social Media: An Overview
Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar +3
Depression is the most common mental health disorder, and its prevalence increased during the COVID-19 pandemic. As one of the most extensively researched psychological conditions,…
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook
Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar +3
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple reviews have been published on this top…