Neural Probabilistic Model for Non-projective MST Parsing
Table 3: Parsing performance on PTB with different training objective functions.
['[EMPTY]', '[BOLD] Dev UAS', '[BOLD] Dev LAS', '[BOLD] Test UAS', '[BOLD] Test LAS']
The parser with global likelihood objective outperforms the one with simple cross-entropy objective, demonstrating the effectiveness of the global structured objective.