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A FrameNet-based semantic role labeler for Swedish

In English

Författare

Summary, in English

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.

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

Ämne

  • Computer Science

Nyckelord

  • Natural Language Semantics
  • Natural Language Processing
  • Semantic Role Labeling

Conference name

COLING/ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

Conference date

2006-07-17 - 2006-07-21

Conference place

Sydney, Australia

Status

Published