This paper describes some results about the way syntactic representations\ud
and parsing methodologies affect the performance of systems for parsing Italian. Italian has a rich morphology, especially with respect to Verbal suffixes, that can\ud
provide a parser with useful information for making the correct choices. With respect\ud
to syntactic representation, the experiments are based on a treebank for Italian, which\ud
has been delivered both in a dependency and in a constituency formalism, and for\ud
each of them also annotated at different degrees of specificity. The two paradigms\ud
are compared, and the different degrees of specificity in marking some syntactic\ud
phenomena are pointed out. On the basis of this treebank, statistical parsers have been\ud
evaluated. The results have shown that both the representation format and the parsing approach strongly affect the performance, that in some cases are very close and in others drastically different from the ones that constitute the state of the art for English
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.