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.
@article{arxiv.2006.10677,
title = {AMALGUM -- A Free, Balanced, Multilayer English Web Corpus},
author = {Luke Gessler and Siyao Peng and Yang Liu and Yilun Zhu and Shabnam Behzad and Amir Zeldes},
journal= {arXiv preprint arXiv:2006.10677},
year = {2020}
}
Comments
Accepted at LREC 2020. See https://www.aclweb.org/anthology/2020.lrec-1.648/ (note: ACL Anthology's title is currently out of date)