Cross-Domain Generalization of Neural Constituency Parsers
Table 2: Performance on Chinese corpora and increase in error (relative to the CTB test set) as parsers are evaluated out-of-domain. The non-neural (ZPar) and neural (In-Order) parser generalize similarly.
['[EMPTY]', 'ZPar F1', 'ZPar Δ Err.', 'In-Order F1', 'In-Order Δ Err.']
computed relative to the in-domain CTB Test set. As with the English parsers and treebanks, increased performance on the in-domain test set corresponds to improvements on the out-of-domain treebanks (although these differences are small enough that this result is less conclusive than for English). In addition, as with English, we observe similar generalization performance of the non-neural and neural parsers across the out-of-domain treebanks.