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Laboratory for Complex Networks

Characterisation of COVID-19-Related Tweets in the Croatian Language: Framework Based on the Cro-CoV-cseBERT Model

22.11.2021

This study aims to provide insights into the COVID-19-related communication on Twitter in the Republic of Croatia. For that purpose, we developed an NL-based framework that enables automatic analysis of a large dataset of tweets in the Croatian language. We collected and analysed 206,196 tweets related to COVID-19 and constructed a dataset of 10,000 tweets […]

Infoveillance of the Croatian Online Media during the COVID-19 Pandemic: a One-Year Longitudinal NLP Study

22.11.2021

Background: Online media plays an important role in public health emergencies and serves as a communication platform. Infoveillance of online media during the COVID-19 pandemic is an important step toward a better understanding of crisis communication. Objective: The goal of this study is to perform a longitudinal analysis of the COVID-19 related content based on natural language […]

A Comparison of Approaches for Measuring the Semantic Similarity of Short Texts Based on Word Embeddings

18.12.2020

Measuring the semantic similarity of texts has a vital role in various tasks from the field of natural language processing. In this paper, we describe a set of experiments we carried out to evaluate and compare the performance of different approaches for measuring the semantic similarity of short texts. We perform a comparison of four […]

Survey of Neural Text Representation Models

02.11.2020

In natural language processing, text needs to be transformed into a machine-readable representation before any processing. The quality of further natural language processing tasks greatly depends on the quality of those representations. In this survey, we systematize and analyze 50 neural models from the last decade. The models described are grouped by the architecture of […]

Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)

02.07.2020

Communication through social media has been gaining importance in responses to major crises, such as COVID-19. In emergency situations, there is an urgent need to rely on trustworthy information. On the other side, we are all witnessing a huge amount of misinformation (fake news, conspiracy theories) also spreading on social media, especially during a crisis. […]

Corpus-Based Paraphrase Detection Experiments and Review

11.05.2020

Paraphrase detection is important for a number of applications, including plagiarism detection, authorship attribution, question answering, text summarization, text mining in general, etc. In this paper, we give a performance overview of various types of corpus-based models, especially deep learning (DL) models, with the task of paraphrase detection. We report the results of eight models […]

Structural Analysis of Factual, Conceptual, Procedural, and Metacognitive Knowledge in a Multidimensional Knowledge Network

09.03.2020

Discovering the most suitable network structure of the learning domain represents one of the main challenges of knowledge delivery and acquisition. We propose a multidimensional knowledge network (MKN) consisting of three components: multilayer network and its two projections. Each network layer constitutes factual, conceptual, procedural, or metacognitive knowledge within the domain of databases as a […]

Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation

10.09.2019

Language generation (LG) is a crucial technology if machines are to communicate with humans seamlessly using human natural language. A great number of different tasks within Natural Language Processing (NLP) are language generation tasks, and being able to effectively perform these tasks implies (1) that machines are equipped with world knowledge that can require multi-modal […]

Selectivity-Based Keyword Extraction Method

06.07.2017

In this work the authors propose a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate […]

Multilayer Network of Language: a Unified Framework for Structural Analysis of Linguistic Subsystems

16.10.2016

Recently, the focus of complex networks’ research has shifted from the analysis of isolated properties of a system toward a more realistic modeling of multiple phenomena — multilayer networks. Motivated by the prosperity of multilayer approach in social, transport or trade systems, we introduce the multilayer networks for language. The multilayer network of language is […]

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Latest Projects

Transversal Skills in Applied Artificial Intelligence (TSAAI)

INNO2MARE – Strengthening the capacity for excellence of Slovenian and Croatian innovation ecosystems to support the digital and green transitions of maritime regions

European Digital Innovation Hub Adria Croatia

ABsistemDCiCloud

Machine Learning for Knowledge Transfer in Medical Radiology

Latest Research Papers

Fracture Recognition in Paediatric Wrist Radiographs: An Object Detection Approach

Rapid extraction of skin physiological parameters from hyperspectral images using machine learning

Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the Game

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals

Latest News

Recognition of the Faculty of Information and Digital Technologies

Assoc. prof. Jonatan Lerga received the Croatian Academy of Sciences and Arts award

Dr. Sc. Nikola Lopac successfully defended his doctoral dissertation

Presentation at the conference “Digital Innovation and Technology for People”

Assoc. prof. dr. sc. Jonatan Lerga presented AIRI Center at the IEEE Rijeka : Computer Society Congress 2021

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Center for Artificial Intelligence and Cybersecurity
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