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Št. zadetkov: 5
Knowledge graph-based document embedding enrichment
Boshko Koloski, Marko Robnik Šikonja, Blaž Škrlj
Diplomsko delo
Oznake: knowledge graphs;word embedding;knowledge graph embedding;natural language processing;computer and information science;diploma thesis;
Structured and unstructured textual data requires efficient representation for computation and manipulation. Many different methods have been developed to represent text in numerical form. Some of these methods are based only on statistical metrics, and some introduce the concept of word context. St ...
Leto: 2020 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
FuDoBa
Boshko Koloski, Senja Pollak, Roberto Navigli, Blaž Škrlj
Izvirni znanstveni članek
Oznake: razvrščanje dokumentov;optimizacija;grafi znanja;document classification;Bayesian optimisation;representation learning;knowledge graphs;
Building on the success of large language models (LLMs), LLM-based representations have dominated the document representation landscape, achieving strong performance on document embedding benchmarks. However, high-dimensional, computationally expensive LLM embeddings can be too generic or inefficien ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Digitalisation of inorganic chemistry with LLMs
Boshko Koloski, Senja Pollak, Sašo Džeroski, Aleksandar Kondinski
Izvirni znanstveni članek
Oznake:
Over the past few years, large language models have become technologically ubiquitous and now offer a powerful route to accelerate discoveries in chemistry. In this article, we highlight current impactful applications of large language models in inorganic chemistry, from smart text mining of the ino ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Measuring catastrophic forgetting in cross-lingual classification
Boshko Koloski, Blaž Škrlj, Marko Robnik Šikonja, Senja Pollak
Izvirni znanstveni članek
Oznake: medjezikovno učenje;medjezikovni prenos;cross-lingual transfer;cross-lingual learning;catastrophic-forgetting;document classification;
Cross-lingual transfer leverages knowledge from a resource-rich source language, commonly English, to enhance performance in less-resourced target languages. Two widely used strategies are: Cross-Lingual Validation (CLV), which involves training on the source language and validating on the target la ...
Leto: 2025 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Evaluation of Knowledge Graph Construction Methods on the Stroke Domain
Elena Atanasovska, Marko Robnik Šikonja, Dragi Kocev, Boshko Koloski
Diplomsko delo
Oznake: Knowledge Graph Construction;Relation Extraction;Large Language Models;Biomedical Natural Language Processing;
The proliferation of biomedical literature on stroke creates a severe information-overload problem that hinders systematic research and discovery. Knowledge graphs (KGs) can address this by structuring unstructured text into machine-readable form, yet building high-quality, domain-specific KGs remai ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 5
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