Kristina Spranger
2007
Global Learning of Labeled Dependency Trees
Michael Schiehlen | Kristina Spranger
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Michael Schiehlen | Kristina Spranger
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
2006
The Mass-Count Distinction: Acquisition and Disambiguation
Michael Schiehlen | Kristina Spranger
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Michael Schiehlen | Kristina Spranger
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
At least in the realm of fast parsing, the masscount distinction has led the life of a wallflower. We argue in this paper that this should not be so. In particular, we argue, both theoretical linguistics and computational linguistics can gain by a corpus-based investigation of this distinction: Computational linguists get more accurate parses; the knowledge extracted from these parses becomes more reliable; theoretical linguists are presented with new data in a field that has been intensely discussed and yet remains in a state that is not satisfactory from a practical point of view.
Language Independent Probabilistic Context-Free Parsing Bolstered by Machine Learning
Michael Schiehlen | Kristina Spranger
Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)
Michael Schiehlen | Kristina Spranger
Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)
2005
Some remarks on the Annotation of Quantifying Noun Groups in Treebanks
Kristina Spranger
Proceedings of the Sixth International Workshop on Linguistically Interpreted Corpora (LINC-2005)
Kristina Spranger
Proceedings of the Sixth International Workshop on Linguistically Interpreted Corpora (LINC-2005)