Across-genres and empirical evaluation of state of- the-art treebank-style parsers

This paper evaluates a series of freely available, state-of-the art parsers on a standardbenchmark as well as with respect to a set of data impotrant to measure text cohesion in the context of learning technology. We outline advantages of the existing parsing technologies and make recommendations. The performance reported uses traditional measures as well as novel dimensions for parsing evaluation to develop a gold standard for narrive and expository texts. To our knowledge this is the first attempt to evaluate parsers across genres.