Relation extraction between the clinical entities based on the shortest dependency path based LSTM
Table 2: Result comparison of our baseline models and the proposed model
['Model', 'Precision', 'recall', 'F1-score']
All the results shown below are the average of 5-fold experiments. To show the effectiveness of our proposed model, we build two competitive state-of-the-art baseline models. In the first baseline, we train the model with feed forward network and the second baseline model is similar to our proposed model but trained without dependency label and PoS tag features. over the first baseline and around 0.56 F1-score over the second baseline.