Shared Task Proposal: Multilingual Surface Realization Using Universal Dependency Trees
Abstract
We propose a shared task on multilingual Surface Realization, i.e., on mapping unordered
and uninflected universal dependency trees to correctly ordered and inflected sentences in a
number of languages. A second deeper input will be available in which, in addition,
functional words, fine-grained PoS and morphological information will be removed from
the input trees. The first shared task on Surface Realization was carried out in 2011 with
a similar setup, with a focus on English. We think that it is time for relaunching such a
shared task effort in view of the arrival of Universal Dependencies annotated treebanks for
a large number of languages on the one hand, and the increasing dominance of Deep Learning,
which proved to be a game changer for NLP, on the other hand.