87 citations · 304 across the 25 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…
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…