S. Pado and M. Lapata: Cross-lingual Annotation Projection of Semantic Roles. Journal of Artificial Intelligence Research 36, 307-340. 2009. doi:10.1613/jair.2863
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.
@Article{pado09:annotation
author = {Sebastian Pad\'o and Mirella Lapata},
title = {Cross-lingual Annotation Projection of Semantic Roles},
journal = {Journal of Artificial Intelligence Research},
volume = 36,
pages = {307--340},
year = 2009
}