Datasets:

acronym_identification

like 18

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[ "Electronic", "Medical", "Records", "(", "EMR", ")", "are", "used", "in", "medical", "sector", "in", "various", "ways", "which", "includes", "easy", "access", "to", "medical", "record", ",", "reduction", "of", "potential", "medical", "error", ",", "appointments", "and", "billing", "management", "However", ",", "there", "are", "obstacles", "to", "a", "successful", "adoption", "of", "electronic", "records", "and", "to", "the", "transition", "from", "a", "paper", "-", "based", "paradigm", "." ]

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[ "taken", "into", "account", "both", "sparsity", "and", "locality", ",", "and", "upgraded", "the", "robustness", "of", "BB8", "(", "8", "corners", "of", "the", "bounding", "box", ")", "by", "predicting", "projection", "heatmaps", "from", "random", "local", "patches", "." ]

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[ "Model", "-", "based", ",", "Reflex", "Agent", "model", "(", "MRA", "model", ")", ":", "A", "world", "model", "is", "introduced", "to", "maintain", "some", "kind", "of", "structure", ",", "which", "describes", "the", "part", "of", "the", "world", "which", "can", "not", "be", "observed", "." ]

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[ "Classification", "performance", "of", "the", "spectral", "detector", "and", "three", "deep", "learning", "(", "DL", ")", "models", "evaluated", "on", "the", "reference", "data", "set", "containing", "200", "quiet", "brakings", ",", "200", "squeals", ",", "50", "wirebrush", "sounds", ",", "25", "click", "sounds", "and", "15", "broad", "-", "banded", "artefacts", "." ]

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[ "We", "also", "compare", "the", "performance", "of", "MRC", "cooperative", "NOMA", "with", "MRC", "cooperative", "orthogonal", "multiple", "access", "(", "OMA", ")", ",", "and", "we", "show", "that", "NOMA", "has", "a", "better", "performance", "than", "OMA", "." ]

[ 4, 4, 4, 4, 4, 4, 1, 4, 1, 4, 1, 4, 0, 2, 2, 4, 1, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 1, 4 ]