Cross-lingual Annotation Projection for Semantic Roles
This reduces human effort in creating semantic role resources for languages lacking such annotations, though it is incremental as it builds on existing projection methods.
The paper tackles the problem of automatically inducing FrameNet-style semantic role annotations for new languages using a cross-lingual annotation projection framework, achieving high-precision German annotations from English data.
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.