AMALGUM – A Free, Balanced, Multilayer English Web Corpus

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10426995" target="_blank" >RIV/00216208:11320/20:10426995 - isvavai.cz</a>

Result on the web

<a href="https://www.aclweb.org/anthology/2020.lrec-1.648" target="_blank" >https://www.aclweb.org/anthology/2020.lrec-1.648</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

AMALGUM – A Free, Balanced, Multilayer English Web Corpus

Original language description

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.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů