To these aims, we take a new approach to human-annotated corpus resources by double annotating a much larger part of the corpus than what is normally seen 1 , and by including in the corpus not only the adjucated files, but also the diverging annotations.
we do not consider all disagreement to be noise, but rather to contain valuable linguistic information that we can use to improve our annotation schemes as well as in our learning algorithms.