Learning to Identify Ambiguous and Misleading News Headlines
Table 5: Comparison results of supervised method and co-training
['[EMPTY]', 'Precision', 'Recall', 'F-score']
In the previous section, the efficacy of two views of features is proved. In this section, we utilize the large number of unlabeled data by leveraging the co-training method. We compare the results of co-training and the supervised method to demonstrate the suitability of co-training in our task. The sub-classifiers use the same SVM-based machine learning method mentioned in the previous section. Our proposed co-training method outperforms the supervised method with all features and gains an increase of 0.022 in F-score. We conduct sign test again and our method passes the significance test with a p−value of 0.0183<0.05.