  We present a freely available, genre-balanced English web corpus totaling 4M
tokens and featuring a large number of high-quality automatic annotation
layers, including dependency trees, non-named entity annotations, coreference
resolution, and discourse trees in Rhetorical Structure Theory. By tapping open
online data sources the corpus is meant to offer a more sizable alternative to
smaller manually created annotated data sets, while avoiding pitfalls such as
imbalanced or unknown composition, licensing problems, and low-quality natural
language processing. We harness knowledge from multiple annotation layers in
order to achieve a "better than NLP" benchmark and evaluate the accuracy of the
resulting resource.
