Kristina Spranger


2007

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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)

2006

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The Mass-Count Distinction: Acquisition and Disambiguation
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 mass–count 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.

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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)

2005

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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)

2004

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Identifying Morphosyntactic Preferences in Collocations
Stefan Evert | Ulrich Heid | Kristina Spranger
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Automatic Methods to Supplement Broad-Coverage Subcategorization Lexicons
Michael Schiehlen | Kristina Spranger
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)