93 citations · 216 across the 33 of their papers we have counts for
4 papers · 1 filter
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining
Boshko Koloski, Nada Lavrač, Bojan Cestnik +3
In an era marked by a rapid increase in scientific publications, researchers grapple with the challenge of keeping pace with field-specific advances. We present the `AHAM' methodol…
Latent Graphs for Semi-Supervised Learning on Biomedical Tabular Data
Boshko Koloski, Nada Lavrač, Senja Pollak +1
In the domain of semi-supervised learning, the current approaches insufficiently exploit the potential of considering inter-instance relationships among (un)labeled data. In this w…
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Boshko Koloski, Blaž Škrlj, Marko Robnik-Šikonja +1
The cross-lingual transfer is a promising technique to solve tasks in less-resourced languages. In this empirical study, we compare two fine-tuning approaches combined with zero-sh…
The Recent Advances in Automatic Term Extraction: A survey
Hanh Thi Hong Tran, Matej Martinc, Jaya Caporusso +2
Automatic term extraction (ATE) is a Natural Language Processing (NLP) task that eases the effort of manually identifying terms from domain-specific corpora by providing a list of…