This paper introduces the upgrade of a training corpus for linguistic annotation of modern
standard Slovene. The enhancement spans both the size of the corpus and the depth of …

Nowadays, many electronic health reports (EHRs) are stored daily. They consist of the
structured part and of an unstructured section written in natural language. Due to the limited …

Sažetak In this paper, a novel approach to automatic question generation (AQG) using
semantic role labeling (SRL) for morphologically rich languages is presented. A model for …

FAMI GRAFIKA-20210420125248 Page 1 UNIVERZITET U NIŠU ELEKTRONSKI FAKULTET
Aldina R. Avdić Realizacija servisa pametnog zdravstva i njihova integracija u koncept …

This paper presents recent developments and the content of the ssj500k training corpus, the
largest and most widely used open-source collection of training data for Slovene language …

Semantic Role Labeling (SRL) is one of the most challenging tasks in Natural Language
Processing (NLP). SRL is a task that consists of predicate identification, argument …

U radu se opisuju i uspoređuju semantičke uloge u općejezičnim i terminološkim mrežnim
resursima te se prikazuje prijedlog modela semantičkih uloga za bazu AirFrame, u kojoj je …

This paper describes a method for automatic identification of sentences in the Gigafida
corpus containing multi-word expressions (MWEs) from the list of 5,242 phraseological units …

An enormous amount of human knowledge is written in an unstructured form. Its conversion
into a structured form, the process known as knowledge extraction, is often complex, costly …

This paper describes a method for automatic identification of sentences in the Gigafida
corpus containing multiword expressions (MWEs) from the list of 5,242 phraseological units …