DFKI-LT - Parser Evaluation over Local and Non-Local Deep Dependencies in Large Corpora
Parser Evaluation over Local and Non-Local Deep Dependencies in Large Corpora
2 Conference on Empirical Methods in Natural Language Processing, Edinburgh, United Kingdom, Association for Computational Linguistics, 2011
In order to obtain a ﬁne-grained evaluation of parser accuracy over naturally occurring text, we study 100 examples each of ten reasonably frequent linguistic phenomena, randomly selected from a parsed version of the English Wikipedia. We construct a corresponding set of gold-standard target dependencies for these 1000 sentences, operationalize mappings to these targets from seven state-of-theart parsers, and evaluate the parsers against this data to measure their level of success in identifying these dependencies.
Files: BibTeX, D11-1037.pdf, D11-1037.pdf