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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