NUBes: A Corpus of Negation and Uncertainty in Spanish Clinical Texts

Salvador Lima Lopez, Naiara Perez, Montse Cuadros, German Rigau

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.
Anthology ID:
2020.lrec-1.708
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5772–5781
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.708
DOI:
Bibkey:
Cite (ACL):
Salvador Lima Lopez, Naiara Perez, Montse Cuadros, and German Rigau. 2020. NUBes: A Corpus of Negation and Uncertainty in Spanish Clinical Texts. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5772–5781, Marseille, France. European Language Resources Association.
Cite (Informal):
NUBes: A Corpus of Negation and Uncertainty in Spanish Clinical Texts (Lima Lopez et al., LREC 2020)
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PDF:
https://preview.aclanthology.org/naacl24-info/2020.lrec-1.708.pdf
Code
 Vicomtech/NUBes-negation-uncertainty-biomedical-corpus
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