LREC 2006 - Proceedings sorted by papers

Title	Construction of a FrameNet Labeler for Swedish Text
Authors	R. Johansson, P. Nugues
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.
Keywords	semantic role labeling, FrameNet, parallel corpora,
Full paper	Construction of a FrameNet Labeler for Swedish Text

Title

Construction of a FrameNet Labeler for Swedish Text

Authors

R. Johansson, P. Nugues

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.

Keywords

semantic role labeling, FrameNet, parallel corpora,

Full paper

Construction of a FrameNet Labeler for Swedish Text