Error Analysis for Vietnamese Dependency Parsing
Table IX: Dependency arc precision/recall relative to predicted/gold degree of non-projectivity.
['[BOLD] Dependent POS', '[BOLD] MST', '[BOLD] Malt', 'Δ']
We measure labeled dependency accuracy relative to the part-of-speech of the modifier word in dependency relations. As a result, we can see that both of the parsers achieve very high performances for adjuncts, quantities, and determiners (≥91.00%). For dependent parts-of-speech corresponding to lower accuracies, we see that MaltParser performs slightly better for verbs, conjunctions and punctuations (comma, period, quotation mark), while MSTParser performs better on the other categories including nouns, prepositions, adjectives, pronouns, and particles. The difference between the accuracies of two parsers (Δ) varies from 0.1% to 4.5%.