Automatic labeling of semantic roles
Computational Linguistics
A systematic comparison of various statistical alignment models
Computational Linguistics
Constraints-driven scheduling and resource assignment
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Inducing multilingual text analysis tools via robust projection across aligned corpora
HLT '01 Proceedings of the first international conference on Human language technology research
Support Vector Learning for Semantic Argument Classification
Machine Learning
Semantic role labeling using different syntactic views
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
BiFrameNet: bilingual frame semantics resource construction by cross-lingual induction
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Cross-linguistic projection of role-semantic information
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
The framenet model and its applications†
Natural Language Engineering
Semi-supervised semantic role labeling
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Graph alignment for semi-supervised semantic role labeling
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Cross-lingual annotation projection of semantic roles
Journal of Artificial Intelligence Research
Scaling up automatic cross-lingual semantic role annotation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Semi-supervised semantic role labeling via structural alignment
Computational Linguistics
FrameNet, current collaborations and future goals
Language Resources and Evaluation
Transferring frames: utilization of linked lexical resources
WILS '12 Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure
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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.