Annotating Negation in Spanish Clinical Texts

Cruz, Noa P.; Morante, Roser; López, Manuel J. Maña; Vázquez, Jacinto Mata; Calderón, Carlos

doi:10.18653/v1/w17-1808

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…Cruz et al . (2017) present similar annotations in the medical domain and include syntactic, morphological, and lexical negation. The latest and largest corpus (9455 sentences) is the SFU corpus by Jiménez-Zafra et al .…”

Section: Annotated Corpora and Shared Tasksmentioning

confidence: 99%

Recent advances in processing negation

Morante

Blanco

2020

Nat. Lang. Eng.

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Negation is a complex linguistic phenomenon present in all human languages. It can be seen as an operator that transforms an expression into another expression whose meaning is in some way opposed to the original expression. In this article, we survey previous work on negation with an emphasis on computational approaches. We start defining negation and two important concepts: scope and focus of negation. Then, we survey work in natural language processing that considers negation primarily as a means to improve the results in some task. We also provide information about corpora containing negation annotations in English and other languages, which usually include a combination of annotations of negation cues, scopes, foci, and negated events. We continue the survey with a description of automated approaches to process negation, ranging from early rule-based systems to systems built with traditional machine learning and neural networks. Finally, we conclude with some reflections on current progress and future directions.

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Section: Annotated Corpora and Shared Tasksmentioning

confidence: 99%

Recent advances in processing negation

Morante

Blanco

2020

Nat. Lang. Eng.

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“…Oronoz et al (2015) presented an annotated dataset in Spanish for adverse drug reactions analysis. Although the dataset is in Cruz et al (2017) and Marimon et al (2017) annotated negations in Spanish clinical reports.…”

Section: Previous Workmentioning

confidence: 99%

Annotation of Entities and Relations in Spanish Radiology Reports

Cotik

Filippo²,

Roller

et al. 2017

RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning

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Radiology reports express the results of a radiology study and contain information about anatomical entities, findings, measures and impressions of the medical doctor. The use of information extraction techniques can help physicians to access this information in order to understand data and to infer further knowledge.Supervised machine learning methods are very popular to address information extraction, but are usually domain and language dependent. To train new classification models, annotated data is required. Moreover, annotated data is also required as an evaluation resource of information extraction algorithms. However, one major drawback of processing clinical data is the low availability of annotated datasets. For this reason we performed a manual annotation of radiology reports written in Spanish. This paper presents the corpus, the annotation schema, the annotation guidelines and further insight of the data.

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