Maria Toporowska Gronostaj

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Following the model of the Berkeley FrameNet Constructicon (Fillmore et al. 2012), there are now constructicons being developed for a number of languages, including Japanese, Brazilian Portuguese, and Swedish (Lyngfelt et al. 2012). While each constructicon effort is an addition to the FrameNet of that language, some crucial differences exist between the(More)
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)
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)
Preface Annotated data with role-semantic information are becoming an ever more important resource for many semantic systems. They form the core element to develop large coverage, high-performance, and reusable semantic parsers, classifiers as well as applications that include lexicography, term and information extraction, semantic processing of the web,(More)
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