Maria Toporowska Gronostaj

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During recent years the development of high-quality lexical resources for real-world Natural Language Processing (NLP) applications has gained a lot of attention by many research groups around the world, and the European Union, through the promotion of the language engineering projects dealing directly or indirectly with this topic. In this paper, we focus(More)
The Swedish FrameNet project, SweFN, is a lexical resource under development, designed to support both humans and different applications within language technology, such as text generation, text understanding and information extraction. SweFN is constructed in line with the Berkeley FrameNet and the project is aiming to make it a free, full-scale,(More)
It is common knowledge that the creation of language resources for Language Engineering (LE) applications is a time-consuming, and hence expensive, enterprise. From this knowledge stems the demand for the re-usability of resources, which always remains essential. In this paper we will, however, concentrate on another, complementary, aspect, namely that of(More)
In this pilot study we define and apply a methodology for building an event extraction system for the Swedish scientific medical and clinical language. Our aim is to find and describe linguistic expressions which refer to medical events, such as events related to diseases, symptoms and drug effects. In order to achieve this goal we have initiated actions(More)
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