Luke Gessler author Siyao Peng author Yang Liu author Yilun Zhu author Shabnam Behzad author Amir Zeldes author 2020-may text English eng European Language Resources Association Marseille, France conference publication 979-10-95546-34-4 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. gessler-etal-2020-amalgum https://www.aclweb.org/anthology/2020.lrec-1.648 2020-may 5267 5275