Probabilistic Models for High-Order Projective Dependency Parsing
Table 1: Training, development and test data for PTB, CTB and PDT. #sentences and #words refer to the number of sentences and the number of words excluding punctuation in each data set, respectively.
['[EMPTY]', 'Training', 'sections 2-21', '# [ITALIC] sentences 39,832', '# [ITALIC] words 843,029']
All experiments were running using every single sentence in each set of data regardless of length. Parsing accuracy is measured with unlabeled attachment score (UAS): the percentage of words with the correct head, root accuracy (RA): the percentage of correctly identified root words, and the percentage of complete matches (CM).