Dominika Rogozinska

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The work presented here is the first attempt at creating a probabilistic constituency parser for Polish. The described algorithm disambiguates parse forests obtained from the Świgra parser in a manner close to Probabilistic Context Free Grammars. The experiment was carried out and evaluated on the Składnica treebank. The idea behind the experiment was to(More)
Pharmacokinetics of ketoprofen (KTP) enantiomers has been studied in patients with rheumatoid arthritis (RA) following administration of a single oral dose of 100 mg rac-KTP during multidrug therapy taking into consideration the genotype of RA patients Concentrations of (−)-R and (+)-S enantiomers of KTP in plasma, urine and synovial fluid samples were(More)
The paper describes the results of machine learning experiments with verb classification according to the Linguistic Category Model (LCM). The LCM typology is a well-established tool to measure language abstraction, linked to sentiment and applicable in sentiment-analysis related areas. Our goal is to create automated methods of recognizing LCM verb(More)
This paper is focused on comparing corpus-based methods for estimating word sentiment. Evaluated algorithms represent varying degrees of supervision and range from regression alike approaches to more heavily supervised classifications. The main idea is to explore the opportunities arising from mining medium sized, balanced corpora - as opposed to web as a(More)
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