  The paper presents the IWCS 2019 shared task on semantic parsing where the
goal is to produce Discourse Representation Structures (DRSs) for English
sentences. DRSs originate from Discourse Representation Theory and represent
scoped meaning representations that capture the semantics of negation, modals,
quantification, and presupposition triggers. Additionally, concepts and
event-participants in DRSs are described with WordNet synsets and the thematic
roles from VerbNet. To measure similarity between two DRSs, they are
represented in a clausal form, i.e. as a set of tuples. Participant systems
were expected to produce DRSs in this clausal form. Taking into account the
rich lexical information, explicit scope marking, a high number of shared
variables among clauses, and highly-constrained format of valid DRSs, all these
makes the DRS parsing a challenging NLP task. The results of the shared task
displayed improvements over the existing state-of-the-art parser.
