16 citations · 22 across the 3 of their papers we have counts for
3 papers
Review of Natural Language Processing in Pharmacology
Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva +5
Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understand it to a certain degree, and…
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages
Matej Ulčar, Marko Robnik-Šikonja
Large pretrained masked language models have become state-of-the-art solutions for many NLP problems. While studies have shown that monolingual models produce better results than m…
Evaluation of contextual embeddings on less-resourced languages
Matej Ulčar, Aleš Žagar, Carlos S. Armendariz +4
The current dominance of deep neural networks in natural language processing is based on contextual embeddings such as ELMo, BERT, and BERT derivatives. Most existing work focuses…