The accuracy of our model is 7.8% higher than the best result achieved by LSVM. The results show that this model can perform better than state-of-the-art baselines including hybrid CNN BIBREF15 and LSTM with attention BIBREF16 by 3.1% on the validation set and 1% on the test set. 
 Question: What are state of the art methods authors compare their work with? 
ISOT dataset: LLVM
Liar dataset: Hybrid CNN and LSTM with attention