Steps Towards Semantically Annotated Language Resources
Manfred Klenner, Fabio Rinaldi, Michael Hess
Institute of Computational Linguistics, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
The use of textual resources such as text corpora, tree banks, large-scale lexica etc., has become a widely accepted commitment in the field of computational linguistics. However the scope of the annotations proposed has been unbalanced towards the 'surface' level. Only recently corpora with a deeper level of annotations have started to emerge. In this paper we describe a machine learning approach aimed at learning transformational rules that would allow the (partial) generation of semantic annotations starting from syntactic annotations generated by a parser (or created manually).
Semantic corpus annotation, language resources