👉The project’s development and activities focus on four key thematic areas: artificial intelligence for the green transition, for health and biotechnology, for the digital society, and for science. The goal is to actively promote collaboration between industry, academia, and research institutions, create opportunities for joint projects, and enable the transfer of knowledge and technologies into practice.

Video

Recording is already available.

Methods for semi-automated hypothesis generation from scientific literature: an open science approach

The rapid growth of scientific publications makes it difficult to manually review and keep up to date with new research findings. Literature-based discovery (LBD) is a field of artificial intelligence at the intersection of natural language processing and machine learning, which enables semi-automated hypothesis generation by discovering new associations between previously unconnected scientific sources. In the lecture, we will present a selection of approaches and methods from our recently published monograph Bisociative Literature-Based Discovery: Methods with Tutorials in Python (Springer, 2025). We will present also a collection of Python notebooks that facilitate the reproducibility of procedures for data acquisition, text processing, hypothesis generation and their evaluation, in alignment with the principles of open science.

About the lecturers: Nada Lavrač is a scientific councilor at the Jožef Stefan Institute and a full professor at the Jožef Stefan International Postgraduate School. Bojan Cestnik is the director of the computer engineering company Temida, a researcher at the Jožef Stefan Institute and a full professor at the School of Engineering and Management of the University of Nova Gorica. Andrej Kastrin is a researcher at the Institute for Biostatistics and Medical Informatics at the Faculty of Medicine, University of Ljubljana, and a lecturer at this faculty.

The open day was intended to establish a dialogue with companies so that SLAIF could co-design its services according to their needs. The event confirms that the Slovenian economy sees artificial intelligence as a key opportunity for competitiveness, innovation and digital transformation.
SLAIF will continue to provide access to top-notch infrastructure, expertise and support, thus promoting closer connections between science and industry.

On Monday, November 17, 2025, we invite you to the Great Lecture Hall of the Jožef Stefan Institute (Jamova 39, Ljubljana) for an event where we will present how SLAIF connects Slovenian companies, research institutions and the public sector into a common ecosystem of artificial intelligence.

We will show how companies can access advanced hardware infrastructure, data sources and expertise that enable the development and implementation of artificial intelligence solutions in practice.

SLAIF is designed to co-age and design services together with the economy, so the event will be an excellent opportunity for a direct dialogue about the needs of companies and desired services.

We look forward to meeting you and the opportunity to jointly outline how AI can become a driver of innovation, competitiveness and sustainable development of the Slovenian economy.

More about the event: https://www.sling.si/arhiv-izobrazevanj/industryopenday2025/ 
Participation is free, but registration is required: https://forms.gle/pwsKsgwMxjpUwKf1A

Prof. Dr. Dzeroski co-organized and moderated the Planet & Climate workshop together with Prof. Dr. Markus Reichstein, Director at the Max Planck Institute for Biogeochemistry. The workshop focused on the role of AI and machine learning in advancing planet and climate science, with discussions on weather prediction, climate mitigation, Earth observation, and innovation in environmental technologies.

AIS25 gathered more than 1,200 delegates from over 50 countries, fostering discussions on the transformative role of AI in scientific discovery. The launch of the RAISE initiative further highlighted Europe’s commitment to strengthening collaboration and coordination of AI research, infrastructure, and expertise across Europe.

Papers at the main conference:

• Špela Arhar Holdt, Tomaž Erjavec, Iztok Kosem and Elena Volodina. Towards an Ideal Tool for Learner Error Annotation.
• Špela Arhar Holdt, Jaka Čibej, Kaja Dobrovoljc, Tomaž Erjavec, Polona Gantar, Simon Krek, Tina Munda, Nejc Robida, Luka Terčon and Slavko Žitnik. SUK 1.0: A New Training Corpus for Linguistic Annotation of Modern Standard Slovene.
• Jaya Caporusso, Damar Hoogland, Mojca Brglez, Boshko Koloski, Matthew Purver and Senja Pollak. A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media.
• Filip Dobranić, Bojan Evkoski and Nikola Ljubešić. A Lightweight Approach to a Giga-Corpus of Historical Periodicals: The Story of a Slovenian Historical Newspaper Collection.
• Nikola Ljubešić and Taja Kuzman. CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched with Linguistic and Genre Annotation.
• Michal Mochtak, Peter Rupnik and Nikola Ljubešić. The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings.
• Rik van Noord, Taja Kuzman, Peter Rupnik, Nikola Ljubešić, Miquel Esplà-Gomis, Gema Ramírez-Sánchez and Antonio Toral. Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages.
• Andraž Pelicon, Mladen Karan, Ravi Shekhar, Matthew Purver and Senja Pollak. Denoising Labeled Data for Comment Moderation Using Active Learning.
• Marko Pranjić, Marko Robnik-Šikonja and Senja Pollak. LLMSegm: Surface-level Morphological Segmentation Using Large Language Model.
• Darinka Verdonik, Kaja Dobrovoljc, Tomaž Erjavec and Nikola Ljubešić. Gos 2: A New Reference Corpus of Spoken Slovenian.

Papers at the LREC-COLING workshops:

• Çağrı Çöltekin, Matyáš Kopp, Meden Katja, Vaidas Morkevicius, Nikola Ljubešić and Tomaž Erjavec: Multilingual Power and Ideology identification in the Parliament: a reference dataset and simple baselines. At ParlaCLARIN IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (LREC-COLING).
• Nikola Ivačič, Matthew Purver, Fabienne Lind, Senja Pollak, Hajo Boomgaarden and Veronika Bajt.  Comparing News Framing of Migration Crises using Zero-Shot Classification. At Reference, Framing, and Perspective 2024 Workshop (LREC-COLING)
• Asher de Jong, Taja Kuzman, Maik Larooij and Maarten Marx. ParlaMint Ngram viewer: Multilingual Comparative Diachronic Search Across 26 Parliaments. At ParlaCLARIN IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (LREC-COLING).
• Nikola Ljubešić, Vít Suchomel, Peter Rupnik, Taja Kuzman and Rik van Noord. Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining. At the 3rd Annual Meeting of the ELRA/ISCA Special Interest Group on Under-resourced Languages (SIGUL 2024) (LREC-COLING).