Radically different approaches have been proved to be effective for phrase-structure and dependency parsers in the last decade. Here, we aim to exploit the divergence in these approaches and show the utility of features extracted from the automatic dependency parses of sentences for a discriminative phrase-structure parser. Our experiments show a significant improvement over the state-of-the-art German discriminative constituent parser.
['Richárd Farkas', 'Bernd Bohnet', 'Helmut Schmid']
Features for Phrase-Structure Reranking from Dependency Parses