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• W3036174857 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." @default.
• W3036174857 created "2020-06-25" @default.
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• W3036174857 date "2020-06-18" @default.
• W3036174857 modified "2023-09-27" @default.
• W3036174857 title "AMALGUM -- A Free, Balanced, Multilayer English Web Corpus" @default.
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