Hierarchical Multi-Label Dialog Act Recognition on Spanish Data
Table 4: Accuracy results on Level 1 using the two segment representation approaches.
['[BOLD] Approach', '[BOLD] Accuracy  [ITALIC] m', '[BOLD] Accuracy  [ITALIC] s']
However, both approaches lead to average accuracy results above 90% and the difference between them is just 0.5 percentage points, which suggests that they are able to capture similar generic intention information. Additionally, as expected, using wider context windows around each token leads to better results (p≈0.03), which confirms that the generic Level 1 dialog acts are more related to the structure of the segment than to specific keywords. Still, since three different context windows are used in parallel and the two sets used in our experiments overlap, the accuracy difference between using the narrower windows used by Liu et al.