Construction of a FrameNet Labeler for Swedish Text

Richard Johansson, Pierre Nugues

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

We describe the implementation of a FrameNet-based semantic role labeling system for Swedish text. To train the system, we used a semantically annotated corpus that was produced by projection across parallel corpora. As part of the system, we developed two frame element bracketing algorithms that are suitable when no robust constituent parsers are available.
Apart from being the first such system for Swedish, this is, as far as we are aware, the first semantic role labeling system for a language for which no role-semantic annotated corpora are available.
The estimated accuracy of classification of pre-segmented frame elements is 0.75, and the precision and recall measures for the complete task are 0.67 and 0.47, respectively.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Language Resources and Evaluation (LREC-2006)
Number of pages8
Publication statusPublished - 2006
EventInternational Conference on Language Resources and Evaluation (LREC-2006) - Genoa, Italy
Duration: 2006 May 242006 May 26

Conference

ConferenceInternational Conference on Language Resources and Evaluation (LREC-2006)
Country/TerritoryItaly
CityGenoa
Period2006/05/242006/05/26

Subject classification (UKÄ)

  • Computer Science

Free keywords

  • Natural language processing
  • semantic analysis

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