The aim of Evalita Parsing Task is at defining and extending the state of the art for parsing Italian by encouraging the application of existing models and approaches. Therefore, as in the first edition, the Task includes two tracks, i.e. dependency and constituency. This second track is based on a development set in a format, which is an adaptation for Italian of the Penn Treebank format, and ...

I study a model of repeated elections with both symmetric learning about candidate ability and moral hazard. In this model, candidates choose how to allocate their resources between constituency service and policy work. Early in their careers, they devote excessive time to constituency service in an attempt to manipulate voter learning. Since voters use elections to select better candidates, in...

This paper provides an analysis of the representation of various grammatical phenomena in both constituency structure and dependency structure (hereafter c-structure and d-structure), including agreement, case marking, and word order in transitive sentences, as well as three theoretical constructs, and the interface between the form of a sentence and its meaning. There is a crucial structural r...

Discourse parsing aims to identify the relationship between different discourse units, where most previous works focus on recovering the constituency structure among discourse units with carefully designed features. In this paper, we propose to exploit Long Short Term Memory (LSTM) to properly represent discourse units, while using as few feature engineering as possible. Our transition based pa...

Cross-lingual induction aims to acquire for one language some linguistic structures resorting to annotations from another language. It works well for simple structured predication problems such as part-of-speech tagging and dependency parsing, but lacks of significant progress for more complicated problems such as constituency parsing and deep semantic parsing, mainly due to the structural non-...