Some of the major limitations identified in the areas of argument mining, argument generation, and natural language argument analysis are related to the complexity of annotating argumentatively rich data, the limited size of these corpora, and the constraints that represent the different languages and domains in which these data is annotated. To address these limitations, in this paper we present the following two contributions: an effective methodology for the automatic generation of natural language arguments in different topics and languages, and the largest publicly available corpus of Natural Language Argumentation Schemes available to date.
View Article and Find Full Text PDFBackground: Lung cancer diagnosis, staging and treatment may be enhanced by multidisciplinary participation and presentation in multidisciplinary meetings (MDM). We performed a systematic review and meta-analysis to explore literature evidence of clinical impacts of MDM exposure.
Methods: A study protocol was registered (PROSPERO identifier CRD42021258069).
Background And Objective: Bronchoscopic transbronchial lung cryobiopsy (TBLC) is a guideline-endorsed alternative to surgical lung biopsy for tissue diagnosis in unclassifiable interstitial lung disease (ILD). The reported incidence of post-procedural bleeding has varied widely. We aimed to characterize the incidence, severity and risk factors for clinically significant bleeding following TBLC using an expert-consensus airway bleeding scale, in addition to other complications and diagnostic yield.
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