Error Analysis for Vietnamese Dependency Parsing
Table VI: Dependency arc precision/recall relative to predicted/gold distance to root.
['[BOLD] Distance', '[BOLD] Percentage', '[BOLD] Precision  [BOLD] MST', '[BOLD] Precision  [BOLD] Malt', '[BOLD] Precision Δ', '[BOLD] Recall  [BOLD] MST', '[BOLD] Recall  [BOLD] Malt', '[BOLD] Recall Δ']
Precision is the percentage of dependency arcs in the predicted graphs at a distance of d that is correct. Recall is the percentage of dependency arcs in the gold standard graphs at a distance of d that is predicted. As a result, both parsers have low precision and recall, and tend to be more precise for distances of 2 and 3. The figures in this table shows that for arcs close to the root, MSTParser is better than MaltParser, and the reverse trend is observed for arcs further away from the root. For MaltParser, dependency arcs further away from the root are usually constructed early by the parsing algorithm. Words that are not assigned as modifiers are automatically linked to the root. Therefore, MaltParser has a low precision for root modifiers, and these results are consistent with their previous analysis results.