User Intent Prediction in Information-seeking Conversations
Table 6. Experiment results for different feature groups
['Group(s)', 'Acc', 'Precision', 'Recall', 'F1']
Structural features and content features are significantly more important than sentiment features. We expect the sentiment features to capture the sentiment in user feedback but they might not be able to effectively discriminate other user intent. Structural features provide better performance than content features. We believe that this can be explained by the fact that hand-crafted content features cannot capture the complex user intent dynamics in human information-seeking conversations.