Abstract
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.
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.
| Original language | English |
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| Title of host publication | COLING/ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference |
| Publisher | Association for Computational Linguistics |
| Pages | 436-443 |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | COLING/ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics - Sydney, Australia Duration: 2006 Jul 17 → 2006 Jul 21 |
Conference
| Conference | COLING/ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics |
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| Country/Territory | Australia |
| City | Sydney |
| Period | 2006/07/17 → 2006/07/21 |
Subject classification (UKÄ)
- Computer Sciences
Free keywords
- Natural Language Semantics
- Natural Language Processing
- Semantic Role Labeling