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Coreference in Universal Dependencies 1.0 (CorefUD 1.0)
Abstract: CorefUD is a collection of previously existing datasets annotated with coreference, which we converted into a common annotation scheme. In total, CorefUD in its current version 1.0 consists of 17 datasets for 11 languages. The datasets are enriched with automatic morphological and syntactic annotations that are fully compliant with the standards of the Universal Dependencies project. All the datasets are stored in the CoNLL-U format, with coreference- and bridging-specific information captured by attribute-value pairs located in the MISC column. The collection is divided into a public edition and a non-public (ÚFAL-internal) edition. The publicly available edition is distributed via LINDAT-CLARIAH-CZ and contains 13 datasets for 10 languages (1 dataset for Catalan, 2 for Czech, 2 for English, 1 for French, 2 for German, 1 for Hungarian, 1 for Lithuanian, 1 for Polish, 1 for Russian, and 1 for Spanish), excluding the test data. The non-public edition is available internally to ÚFAL members and contains additional 4 datasets for 2 languages (1 dataset for Dutch, and 3 for English), which we are not allowed to distribute due to their original license limitations. It also contains the test data portions for all datasets. When using any of the harmonized datasets, please get acquainted with its license (placed in the same directory as the data) and cite the original data resource too. Version 1.0 consists of the same corpora and languages as the previous version 0.2; however, the English GUM dataset has been updated to a newer and larger version, and in the Czech/English PCEDT dataset, the train-dev-test split has been changed to be compatible with OntoNotes. Nevertheless, the main change is in the file format (the MISC attributes have new form and interpretation).
Keyword: bridging relations; coreference; dependency; harmonized annotation; treebank
URL: http://hdl.handle.net/11234/1-4698
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2
NewsCom-NEG Corpus ...
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3
NewsCom-NEG Corpus ...
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4
SFU ReviewSP-NEG: a Spanish corpus annotated with negation for sentiment analysis. A typology of negation patterns [<Journal>]
DNB Subject Category Language
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5
Establishing semantic oppositions for the typification of predicates
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6
Language variety identification using distributed representations of words and documents
Martí, M. Antònia; Rosso, Paolo; Franco Salvador, Marc. - : Springer International Publishing, 2015
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7
Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection
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8
SENSEVAL, una aproximació computacional al significat
In: Digithum: revista digital d'humanitats; 2004: Núm.: 5 (2004)
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9
Alternancias diatéticas relacionadas con el aspecto
Fernández Montraveta, Ana; Váquez, Glòria; Martí, M. Antònia. - : Universidade de Santiago de Compostela. Servizo de Publicacións e Intercambio Científico
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