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Negation Detection in Clinical Reports Written in German
TLDR
This work presents a system for detecting mentions of clinical findings that are negated or just speculated in German clinical texts, built on top of NegEx, a well known algorithm for identifying non-factive mentions of medical findings.
Syntactic methods for negation detection in radiology reports in Spanish
TLDR
Different algorithms developed to determine if a term of interest is under the scope of negation in radiology reports written in Spanish are introduced and outperform a simple dictionary lookup algorithm developed as baseline.
Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports
TLDR
The challenge aims at providing a standard evaluation framework to contribute to the advancement in the field of clinical natural language processing in Spanish, and is the first public challenge for named entity recognition and hedge cue detection for radiology reports in Spanish.
Annotation of Entities and Relations in Spanish Radiology Reports
TLDR
A manual annotation of radiology reports written in Spanish is performed and the corpus, the annotation schema, the annotated guidelines and further insight of the data are presented.
An Approach for Automatic Classification of Radiology Reports in Spanish
TLDR
This work presents an approach to classify RadLex, a lexicon of English radiology terms, and NLP techniques to identify the occurrence of pathological findings in radiology reports written in Spanish into two sets: those that indicate pathological findings and the ones that do not.
Semantic Tagging of French Medical Entities Using Distant Learning
TLDR
A semantic tagger aiming to detect relevant entities in French medical documents and tagging them with their appropriate semantic class using a set of binary classifiers, and a combination mechanisms for combining the results of the classifiers.
Overview of the CLEF eHealth Evaluation Lab 2021
TLDR
The resources created for these tasks and evaluation methodology adopted are described and the organizers have made data and tools associated with the lab tasks available for future research and development.
A study of Hate Speech in Social Media during the COVID-19 outbreak
Fil: Cotik, Viviana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Spanish Named Entity Recognition in the Biomedical Domain
TLDR
A Named Entity Recognition method for poorly resourced languages was presented and tested with Spanish radiology reports and compared with a conditional random fields system.
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