Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
An annotation scheme for free word order languages
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Probabilistic parsing for German using sister-head dependencies
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Integrated shallow and deep parsing: TopP meets HPSG
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Is it harder to parse Chinese, or the Chinese Treebank?
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
What to do when lexicalization fails: parsing German with suffix analysis and smoothing
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Annotation strategies for probabilistic parsing in German
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Annotation schemes and their influence on parsing results
COLING ACL '06 Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Parsing Discontinuous Phrase Structure with Grammatical Functions
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Statistical Parsing with Context-Free Filtering Grammar
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Parse selection with a German HPSG grammar
PaGe '08 Proceedings of the Workshop on Parsing German
PaGe '08 Proceedings of the Workshop on Parsing German
Parsing three German treebanks: lexicalized and unlexicalized baselines
PaGe '08 Proceedings of the Workshop on Parsing German
A dependency-driven parser for German dependency and constituency representations
PaGe '08 Proceedings of the Workshop on Parsing German
The PaGe 2008 shared task on parsing German
PaGe '08 Proceedings of the Workshop on Parsing German
Discontinuity revisited: an improved conversion to context-free representations
LAW '07 Proceedings of the Linguistic Annotation Workshop
Topological field parsing of German
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Cross parser evaluation and tagset variation: a French treebank study
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
On statistical parsing of French with supervised and semi-supervised strategies
CLAGI '09 Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference
Statistical parsing of morphologically rich languages (SPMRL): what, how and whither
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
Characterizing discontinuity in constituent treebanks
FG'09 Proceedings of the 14th international conference on Formal grammar
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
An information-theoretic measure to evaluate parsing difficulty across treebanks
ACM Transactions on Speech and Language Processing (TSLP)
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This paper presents a comparative study of probabilistic treebank parsing of German, using the Negra and TüBa-D/Z tree-banks. Experiments with the Stanford parser, which uses a factored PCFG and dependency model, show that, contrary to previous claims for other parsers, lexicalization of PCFG models boosts parsing performance for both treebanks. The experiments also show that there is a big difference in parsing performance, when trained on the Negra and on the TüBa-D/Z treebanks. Parser performance for the models trained on TüBa-D/Z are comparable to parsing results for English with the Stanford parser, when trained on the Penn treebank. This comparison at least suggests that German is not harder to parse than its West-Germanic neighbor language English.