Structural Ambiguity and its Disambiguation in Language Model Based
  Parsers: the Case of Dutch Clause Relativization
Gijs Wijnholds Michael Moortgat
This paper addresses structural ambiguity in Dutch relative clauses. By
investigating the task of disambiguation by grounding, we study how the
presence of a prior sentence can resolve relative clause ambiguities. We apply
this method to two parsing architectures in an attempt to demystify the parsing
and language model components of two present-day neural parsers. Results show
that a neurosymbolic parser, based on proof nets, is more open to data bias
correction than an approach based on universal dependencies, although both
setups suffer from a comparable initial data bias.