Abstract
This paper presents work on developing Swedish FrameNet (SweFN) as a resource analogous to the original Berkeley-based FrameNet. We describe the theoretical and practical basics of FrameNet, and articulate some multilingual issues that arise in expanding a linguistic resource from one language to another. SweFN uses FrameNet as a starting point in order to save time and effort, and to make it compatible with other FrameNet-based resources. The lexical units are from the pivot lexicon SALDO, making SweFN compatible with other resources of the larger project SweFN++. It is a corpus-based resource, meant to support tasks within natural language processing relying on semantic data.
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