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AMALGUM -- A Free, Balanced, Multilayer English Web Corpus (2006.10677v1)

Published 18 Jun 2020 in cs.CL

Abstract: 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.

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Authors (6)
  1. Luke Gessler (13 papers)
  2. Siyao Peng (27 papers)
  3. Yang Liu (2253 papers)
  4. Yilun Zhu (16 papers)
  5. Shabnam Behzad (11 papers)
  6. Amir Zeldes (41 papers)
Citations (14)

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