Finding dependency parsing limits over a large Spanish Corpus

Abstract

This paper studies the performance of different parsers over a large Spanish treebank. The aim of this work is to assess the limitations of state-of-the-art parsers. We want to select the most appropriate parser for subcategorization Frame acquisition, and we focus our analysis on two aspects: the accuracy drop when parsing out-of-domain data, and the performance over specific labels relevant to our task.