In this paper I explain the reasons that led me to research and conceive a novel technology for dependency parsing, mixing together the strengths of data-driven transition-based and constraint-based approaches. In particular I highlight the problem to infer the reliability of the results of a data-driven transition-based parser, which is extremely important for high-level processes that expect to use correct parsing results. I then briefly introduce a number of notes about a new parser model I'm working on, capable to proceed with the analysis in a "more aware" way, with a more "robust" concept of robustness.
@article{arxiv.1507.05630,
title = {Notes About a More Aware Dependency Parser},
author = {Matteo Grella},
journal= {arXiv preprint arXiv:1507.05630},
year = {2015}
}