Cross-Lingual Annotation Projection for Semantic Roles
Abstract
This article considers the task of automatically inducing role-semantic annotations in the FrameNet paradigm for new languages. We propose a general framework that is based on annotation projection, phrased as a graph optimization problem. It is relatively inexpensive and has the potential to reduce the human effort involved in creating role-semantic resources. Within this framework, we present projection models that exploit lexical and syntactic information. We provide an experimental evaluation on an English-German parallel corpus which demonstrates the feasibility of inducing high-precision German semantic role annotation both for manually and automatically annotated English data.
Cite
Text
Padó and Lapata. "Cross-Lingual Annotation Projection for Semantic Roles." Journal of Artificial Intelligence Research, 2009. doi:10.1613/JAIR.2863Markdown
[Padó and Lapata. "Cross-Lingual Annotation Projection for Semantic Roles." Journal of Artificial Intelligence Research, 2009.](https://mlanthology.org/jair/2009/pado2009jair-crosslingual/) doi:10.1613/JAIR.2863BibTeX
@article{pado2009jair-crosslingual,
title = {{Cross-Lingual Annotation Projection for Semantic Roles}},
author = {Padó, Sebastian and Lapata, Mirella},
journal = {Journal of Artificial Intelligence Research},
year = {2009},
pages = {307-340},
doi = {10.1613/JAIR.2863},
volume = {36},
url = {https://mlanthology.org/jair/2009/pado2009jair-crosslingual/}
}