Spatial role labeling with convolutional neural networks

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Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “tion [146], semantic analysis [147], [148], information retrieval [149], [150], entity recognition [151], [152], relation extraction [153], [154], [155], [156], and event detection [157], [158].”
Text feature extraction based on deep learning: a review (2017, unknown): “Deep learning technology is applied in common NLP (natural language processing) tasks, such as semantic parsing [43], information retrieval [44, 45], semantic role labeling [46, 47], sentimental analysis [48], question answering [49–52], machine translation [53–56], text classification [57], summari”