A Systematic Comparison of Syntactic Representations of Dependency Parsing

Wisniewski, Guillaume, Lacroix, Ophélie

arXiv.org Artificial Intelligence 

We compare the performance of a transition-based parser in regards to different annotation schemes. We pro-pose to convert some specific syntactic constructions observed in the universal dependency treebanks into a so-called more standard representation and to evaluate parsing performances over all the languages of the project. We show that the ``standard'' constructions do not lead systematically to better parsing performance and that the scores vary considerably according to the languages.

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