activity
20242026
collaborators

7 papers

cs.CL2026

Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian

Dragos-Mitrut Vasile, Elena-Simona Apostol, Stefan-Adrian Toma +2

Relation extraction (RE) for low-resource languages is typically constrained by the lack of annotated corpora. We investigate the feasibility of cross-lingual RE for Romanian by co…

cs.CL2026

ACAT: A Collaborative Platform for Efficient Aspect-Based Sentiment Dataset Annotation

Ana-Maria Luisa Mocanu, Ciprian-Octavian Truica, Elena-Simona Apostol

Aspect-Based Sentiment Analysis (ABSA) requires high-quality datasets to train reliable models. However, existing annotation tools treat output as flat files, leaving researchers t…

cs.SI2025

CleanNews: a Network-aware Fake News Mitigation Architecture for Social Media

Maria-Diana Cotelin, Ciprian-Octavian Truică, Elena-Simona Apostol

With the widespread use of the internet and handheld devices, social media now holds a power similar to that of old newspapers. People use social media platforms for quick and acce…

cs.AI2024

GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection

Ciprian-Octavian Truică, Elena-Simona Apostol, Marius Marogel +1

In today's digital age, fake news has become a major problem that has serious consequences, ranging from social unrest to political upheaval. To address this issue, new methods for…

cs.SI2024

StopHC: A Harmful Content Detection and Mitigation Architecture for Social Media Platforms

Ciprian-Octavian Truică, Ana-Teodora Constantinescu, Elena-Simona Apostol

The mental health of social media users has started more and more to be put at risk by harmful, hateful, and offensive content. In this paper, we propose \textsc{StopHC}, a harmful…

cs.SI2024

Large-Scale Graphs Community Detection using Spark GraphFrames

Elena-Simona Apostol, Adrian-Cosmin Cojocaru, Ciprian-Octavian Truică

With the emergence of social networks, online platforms dedicated to different use cases, and sensor networks, the emergence of large-scale graph community detection has become a s…