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A FrameNet-based semantic role labeler for Swedish

Författare:
Publiceringsår: 2006
Språk: Engelska
Sidor: 436-443
Publikation/Tidskrift/Serie: COLING/ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
Dokumenttyp: Konferensbidrag
Förlag: Association for Computational Linguistics

Sammanfattning

We present a FrameNet-based semantic role labeling system for Swedish text. As training data for the system, we used an annotated corpus that we produced by transferring FrameNet annotation from the English side to the Swedish side in a parallel corpus. In addition, we describe two frame element bracketing algorithms that are suitable when no robust constituent parsers are available.
We evaluated the system on a part of the FrameNet example corpus that we translated manually, and obtained an accuracy score of 0.75 on the classification of presegmented frame elements, and precision and recall scores of 0.67 and 0.47 for the complete task.

Disputation

Nyckelord

  • Technology and Engineering
  • Natural Language Semantics
  • Natural Language Processing
  • Semantic Role Labeling

Övrigt

COLING/ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics
2006-07-17/2006-07-21
Sydney, Australia
Published
Yes

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