Statistical Language Learning
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
PCFG models of linguistic tree representations
Computational Linguistics
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
An annotation scheme for free word order languages
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Can subcategorization help a statistical dependency parser?
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Probabilistic parsing for German using sister-head dependencies
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Combining deep and shallow approaches in parsing German
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
Efficient parsing of highly ambiguous context-free grammars with bit vectors
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A dependency-based method for evaluating broad-coverage parsers
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Lexicalization in crosslinguistic probabilistic parsing: the case of French
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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
The benefit of stochastic PP attachment to a rule-based parser
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Language independent probabilistic context-free parsing bolstered by machine learning
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Is it really that difficult to parse German?
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Parsing three German treebanks: lexicalized and unlexicalized baselines
PaGe '08 Proceedings of the Workshop on Parsing German
Scalable discriminative parsing for German
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Parsing unrestricted german text with defeasible constraints
CSLP'04 Proceedings of the First international conference on Constraint Solving and Language Processing
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Morphological and syntactic case in statistical dependency parsing
Computational Linguistics
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The paper presents an unlexicalized probabilistic parsing model for German trained on the Negra treebank. Evaluation is performed with respect to constituency and dependency measures. It is observed that existing models based on Parent Encoding and Markovization optimize for constituency measures at the expense of dependency performance (at least in German). Several linguistically inspired transformation and annotation schemes are proposed which do help with dependency measures. Finally, it is shown that performance compares well with published results for German.