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Table 1 Experimental results

From: Ontology boosted deep learning for disease name extraction from Twitter messages

Methods Measure Data set
Mumps + measles + pneumonia Pink eye
CNF + log linear model Precision 0.68 0.71
Recall 0.43 0.58
F measure 0.53 0.64
CNF + CRF Precision 0.79 0.68
Recall 0.58 0.63
F measure 0.67 0.65
LSTM + custom Word2Vecmodel Precision 0.00 0.74
Recall 0.00 0.05
F measure 0.00 0.02
LSTM + generic Word2Vec model Precision 0.55 0.35
Recall 0.04 0.17
F measure 0.08 0.23
LSTM + CNF Word2Vec Precision 0.78 0.71
Recall 0.67 0.82
F measure 0.72 0.77