Non-Projective Dependency Parsing with Non-Local Transitions
Table 3: Parsing accuracy (UAS and LAS, with punctuation) of the arc-swift and NL-Covington parsers on CoNLL-XI (1st block) and CoNLL-X (2nd block) datasets. Best results for each language are in bold. * indicates statistically significant improvements (α=.05).
['Language', 'Arc-swift UAS', 'Arc-swift LAS', 'NL-Covington UAS', 'NL-Covington LAS']
all training datasets, instead of filtering non-projective sentences, as some of the languages are significantly non-projective. Even doing that, the NL-Covington parser improves over the arc-swift system in terms of UAS in 14 out of 19 datasets, obtaining statistically significant improvements in accuracy on 7 of them, and statistically significant decreases in just one.