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)
Access to multi-layered lexical, grammatical and semantic information representing text content is a prerequisite for efficient automatic understanding and generation of natural language. A FrameNet is considered a valuable resource for both linguistics and language technology research that may contribute to the achievement of these goals. Currently,(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)
This paper reports on a corpus-based, contrastive study of the Swedish and English medical language in the cancer sub-domain. It is focused on the examination of a number of linguistic parameters differentiating two types of cancer-related textual material, one intended for medical experts and one for laymen. Language-dependent and language independent(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)
At SLTC four years ago, we presented the then newly launched SweFN++ project (Borin et al., 2010). Now the project is approaching the end of its funding period , 1 and the day of reckoning draws nigh. Below, we give an account of the accomplishments of the SweFN++project in relation to its original goals, and describe our future plans for the resources(More)
This paper reports on the work carried out developing MedLex+, a medical corpus-lexicon workbench for Swedish. This project, which is still under active development, has been going on for some years now within the Department of Swedish language at Göteborg University. At the moment, the workbench incorporates:-an annotated collection of medical(More)
During recent years there has been an increased interest to acquire or extend, on a large-scale, high-quality semantic lexicons. The methodology is usually corpus-driven. It is based on the (re-)use of machine readable resources of various types, and the application of cost effective ways to eliminate the acquistion bottleneck, i.e. derivational morphology,(More)
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