87 citations · 304 across the 25 of their papers we have counts for
25 papers
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…
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…
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…
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…
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…
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…
Advancements in eHealth Data Analytics through Natural Language Processing and Deep Learning
Elena-Simona Apostol, Ciprian-Octavian Truică
The healthcare environment is commonly referred to as "information-rich" but also "knowledge poor". Healthcare systems collect huge amounts of data from various sources: lab report…
Efficient Machine Learning Ensemble Methods for Detecting Gravitational Wave Glitches in LIGO Time Series
Elena-Simona Apostol, Ciprian-Octavian Truică
The phenomenon of Gravitational Wave (GW) analysis has grown in popularity as technology has advanced and the process of observing gravitational waves has become more precise. Alth…
Semantic Change Detection for the Romanian Language
Ciprian-Octavian Truică, Victor Tudose, Elena-Simona Apostol
Automatic semantic change methods try to identify the changes that appear over time in the meaning of words by analyzing their usage in diachronic corpora. In this paper, we analyz…
ATESA-BÆRT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysis
Elena-Simona Apostol, Alin-Georgian Pisică, Ciprian-Octavian Truică
The increasing volume of online reviews has made possible the development of sentiment analysis models for determining the opinion of customers regarding different products and ser…
A Distributed Automatic Domain-Specific Multi-Word Term Recognition Architecture using Spark Ecosystem
Ciprian-Octavian Truică, Neculai-Ovidiu Istrate, Elena-Simona Apostol
Automatic Term Recognition is used to extract domain-specific terms that belong to a given domain. In order to be accurate, these corpus and language-dependent methods require larg…
Advanced Medical Image Representation for Efficient Processing and Transfer in Multisite Clouds
Elena-Simona Apostol, Ciprian-Octavian Truică
An important topic in medical research is the process of improving the images obtained from medical devices. As a consequence, there is also a need to improve medical image resolut…
It's All in the Embedding! Fake News Detection Using Document Embeddings
Ciprian-Octavian Truică, Elena-Simona Apostol
With the current shift in the mass media landscape from journalistic rigor to social media, personalized social media is becoming the new norm. Although the digitalization progress…
MisRoBÆRTa: Transformers versus Misinformation
Ciprian-Octavian Truică, Elena-Simona Apostol
Misinformation is considered a threat to our democratic values and principles. The spread of such content on social media polarizes society and undermines public discourse by disto…
SimpLex: a lexical text simplification architecture
Ciprian-Octavian Truică, Andrei-Ionut Stan, Elena-Simona Apostol
Text simplification (TS) is the process of generating easy-to-understand sentences from a given sentence or piece of text. The aim of TS is to reduce both the lexical (which refers…
CONTAIN: A Community-based Algorithm for Network Immunization
Elena-Simona Apostol, Özgur Coban, Ciprian-Octavian Truică
Network immunization is an automated task in the field of network analysis that involves protecting a network (modeled as a graph) from being infected by an undesired arbitrary dif…
ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting
Elena-Simona Apostol, Ciprian-Octavian Truică, Adrian Paschke
Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can consid…
EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture
Alexandru Petrescu, Ciprian-Octavian Truică, Elena-Simona Apostol +1
As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information a…
TextBenDS: a generic Textual data Benchmark for Distributed Systems
Ciprian-Octavian Truica, Elena Apostol, Jérôme Darmont +1
Extracting top-k keywords and documents using weighting schemes are popular techniques employed in text mining and machine learning for different analysis and retrieval tasks. The…
The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes
Ciprian-Octavian Truică, Elena-Simona Apostol, Jérôme Darmont +1
In the current context of Big Data, a multitude of new NoSQL solutions for storing, managing, and extracting information and patterns from semi-structured data have been proposed a…
Innovating HR Using an Expert System for Recruiting IT Specialists -- ESRIT
Ciprian-Octavian Truică, Adriana Barnoschi
One of the most rapidly evolving and dynamic business sector is the IT domain, where there is a problem finding experienced, skilled and qualified employees. Specialists are essent…
Automatic Language Identification for Romance Languages using Stop Words and Diacritics
Ciprian-Octavian Truică, Julien Velcin, Alexandru Boicea
Automatic language identification is a natural language processing problem that tries to determine the natural language of a given content. In this paper we present a statistical m…
Performance evaluation for CRUD operations in asynchronously replicated document oriented database
Ciprian-Octavian Truică, Florin Rădulescu, Alexandru Boicea +1
NoSQL databases are becoming increasingly popular as more developers seek new ways for storing information. The popularity of these databases has risen due to their flexibility and…
Benchmarking Top-K Keyword and Top-K Document Processing with TK and TKD
Ciprian-Octavian Truica, Jérôme Darmont, Alexandru Boicea +1
Top-k keyword and top-k document extraction are very popular text analysis techniques. Top-k keywords and documents are often computed on-the-fly, but they exploit weighted vocabul…