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Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.

, , , , , , , , , , , , , , , , , and . Frontiers Digit. Health, (March 2023)

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PaloPro: a platform for knowledge extraction from big social data and the news., , , , , , , and . Int. J. Big Data Intell., 4 (1): 3-22 (2017)Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification., , and . CoRR, (2023)Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports., , , , and . LOUHI@EMNLP, page 24-37. Association for Computational Linguistics, (2020)The reporting quality of natural language processing studies: systematic review of studies of radiology reports., , , , , , , , , and 3 other author(s). BMC Medical Imaging, 21 (1): 142 (2021)What do character-level models learn about morphology? The case of dependency parsing., , and . EMNLP, page 2573-2583. Association for Computational Linguistics, (2018)Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports., , , , , , , , , and 8 other author(s). Frontiers Digit. Health, (March 2023)Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification., , and . AAAI, page 12208-12216. AAAI Press, (2024)Author Profiling using Stylometric and Structural Feature Groupings., , and . CLEF (Working Notes), volume 1391 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)A systematic review of natural language processing applied to radiology reports., , , , , , , , , and 2 other author(s). BMC Medical Informatics Decis. Mak., 21 (1): 179 (2021)Comparison of rule-based and neural network models for negation detection in radiology reports., , , , , , , , and . Nat. Lang. Eng., 27 (2): 203-224 (2021)