Modelling Protagonist Goals and Desires in First-Person Narrative
Table 6: Results of Logistic Regression classifier with different feature sets on Simple-DesireDB
['[BOLD] Features', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
The ALL feature set includes all the features described in Sec. We obtained high precision and F-measure using the Discourse features. We also experimented with our top feature from the InfoGain analysis, But-Present, which surprisingly achieves a high F-measure, compared to using ALL and Discourse feature sets. But-Present. This indicates that features motivated by narrative structure are primarily driving improvement. In previous work \newciteChaturvedietal16 show that a model representing narrative structure could beat the BOW baseline, but they performed no systematic feature ablation. Our results suggest that ultimately, the presence of “but” is likely a central driver for their improvements as well.