MESOC is a Research and Innovation Action designed to propose, test and validate an innovative and original approach to measuring the societal value and impacts of culture and cultural policies and practices, related to three crossover themes of the new European Agenda for Culture: 1) Health and Wellbeing, 2) Urban and Territorial Renovation and 3) […]
Laboratory for Natural Speech and Language processing
Structural Analysis of Factual, Conceptual, Procedural, and Metacognitive Knowledge in a Multidimensional Knowledge Network
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 […]
Netokracija on WiDS 2020
Netokracija on the participation of AIRI members Sanda Martinčić-Ipšić and Marina Ivašić Kos in Women in Data Science 2020 conference in Zagreb.
WiDS Conference 2020
Sanda Martinčić-Ipšić participated in the round table on past, present and future of data science at Women in Data Science Conference 2020 in Zagreb from 04-05.03.2020.
AIRI Researchers @ HTV
Ana Meštrović participated in the HTV show “Kod nas doma”. The topic was dedicated to the collaboration between AIRI researchers and OmoLab in the development of the mobile application for dyslexia.
AIRI scientists interview @ Novi List
AIRI scientists reveal in interview for Novi list how their paper on Croatian syllabification helped in creating OmoReader application that allows people with dyslexia to read (pdf), 26.12.2019. A. Meštrović, M Matešić and S. Martinčić-Ipšić received “1st Technology Transfer” award, by University of Rijeka Foundation and company Alarm automatika, for the SyllAssist work on the algorithm for Croatian […]
Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation
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 […]
The Influence of Feature Representation of Text on the Performance of Document Classification
In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification. In particular, we consider the most often used family of bag-of-words models, the recently proposed continuous space models word2vec and doc2vec, and the model based on the representation of text documents […]
Evaluation of Language Models over Croatian Newspaper Texts
Statistical language modeling involves techniques and procedures that assign probabilities to word sequences or, said in other words, estimate the regularity of the language. This paper presents basic characteristics of statistical language models, reviews their use in the large set of speech and language applications, explains their formal definition and shows different types of language […]
Link Prediction on Twitter
With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment analysis, content diffusion, link prediction, and the dynamics behind human collective behaviour in general. Here we […]
