The prevailing practice in the academia is to evaluate the model performance
on in-domain evaluation data typically set aside from the training corpus.
However, in many real world applications the data on which the model is applied
may very substantially differ from the characteristics of the training data. In
this paper, we focus on Finnish out-of-domain parsing by introducing a novel UD
Finnish-OOD out-of-domain treebank including five very distinct data sources
(web documents, clinical, online discussions, tweets, and poetry), and a total
of 19,382 syntactic words in 2,122 sentences released under the Universal
Dependencies framework. Together with the new treebank, we present extensive
out-of-domain parsing evaluation utilizing the available section-level
information from three different Finnish UD treebanks (TDT, PUD, OOD). Compared
to the previously existing treebanks, the new Finnish-OOD is shown include
sections more challenging for the general parser, creating an interesting
evaluation setting and yielding valuable information for those applying the
parser outside of its training domain.

本研究针对芬兰文超领域分析，提出了一个包含五个不同数据源的 UD Finnish-OOD 超领域树库和大量的超领域分析评估。其中新的 Finnish-OOD 树库比之前的树库更具挑战性，为超领域应用提供了有价值的信息。