@inproceedings{lima-lopez-etal-2020-nubes,
title = "{NUB}es: A Corpus of Negation and Uncertainty in {S}panish Clinical Texts",
author = "Lima Lopez, Salvador and
Perez, Naiara and
Cuadros, Montse and
Rigau, German",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.708",
pages = "5772--5781",
abstract = "This paper introduces the first version of the NUBes corpus (Negation and Uncertainty annotations in Biomedical texts in Spanish). The corpus is part of an on-going research and currently consists of 29,682 sentences obtained from anonymised health records annotated with negation and uncertainty. The article includes an exhaustive comparison with similar corpora in Spanish, and presents the main annotation and design decisions. Additionally, we perform preliminary experiments using deep learning algorithms to validate the annotated dataset. As far as we know, NUBes is the largest available corpora for negation in Spanish and the first that also incorporates the annotation of speculation cues, scopes, and events.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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%0 Conference Proceedings
%T NUBes: A Corpus of Negation and Uncertainty in Spanish Clinical Texts
%A Lima Lopez, Salvador
%A Perez, Naiara
%A Cuadros, Montse
%A Rigau, German
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F lima-lopez-etal-2020-nubes
%X This paper introduces the first version of the NUBes corpus (Negation and Uncertainty annotations in Biomedical texts in Spanish). The corpus is part of an on-going research and currently consists of 29,682 sentences obtained from anonymised health records annotated with negation and uncertainty. The article includes an exhaustive comparison with similar corpora in Spanish, and presents the main annotation and design decisions. Additionally, we perform preliminary experiments using deep learning algorithms to validate the annotated dataset. As far as we know, NUBes is the largest available corpora for negation in Spanish and the first that also incorporates the annotation of speculation cues, scopes, and events.
%U https://aclanthology.org/2020.lrec-1.708
%P 5772-5781
Markdown (Informal)
[NUBes: A Corpus of Negation and Uncertainty in Spanish Clinical Texts](https://aclanthology.org/2020.lrec-1.708) (Lima Lopez et al., LREC 2020)
ACL