The syntactic process
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Supertagging: an approach to almost parsing
Computational Linguistics
New models for improving supertag disambiguation
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Efficient normal-form parsing for combinatory categorial grammar
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Estimation of stochastic attribute-value grammars using an informative sample
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Investigating GIS and smoothing for maximum entropy taggers
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Building deep dependency structures with a wide-coverage CCG parser
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Log-linear models for wide-coverage CCG parsing
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Parsing the WSJ using CCG and log-linear models
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Some experiments on indicators of parsing complexity for lexicalized grammars
Proceedings of the COLING-2000 Workshop on Efficiency In Large-Scale Parsing Systems
How much can part-of-speech tagging help parsing?
Natural Language Engineering
Parsing the WSJ using CCG and log-linear models
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Probabilistic disambiguation models for wide-coverage HPSG parsing
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Guiding a constraint dependency parser with supertags
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Hybrid parsing: using probabilistic models as predictors for a symbolic parser
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Multi-tagging for lexicalized-grammar parsing
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Type-inheritance combinatory categorial grammar
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Wide-coverage semantic representations from a CCG parser
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Partial training for a lexicalized-grammar parser
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Evaluating the accuracy of an unlexicalized statistical parser on the PARC DepBank
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Feature forest models for probabilistic hpsg parsing
Computational Linguistics
Force deployment analysis with generalized grammar
Information Fusion
Linguistically motivated large-scale NLP with C&C and boxer
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Orthographic similarity search for dictionary lookup of Japanese words
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Measuring and predicting orthographic associations: modelling the similarity of Japanese kanji
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Perceptron training for a wide-coverage lexicalized-grammar parser
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
Pruning the search space of a hand-crafted parsing system with a probabilistic parser
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
Deterministic shift-reduce parsing for unification-based grammars by using default unification
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Fast full parsing by linear-chain conditional random fields
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Extremely lexicalized models for accurate and fast HPSG parsing
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Multilingual deep lexical acquisition for HPSGs via supertagging
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
ASKNet: automated semantic knowledge network
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
Improving the efficiency of a wide-coverage CCG parser
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
A log-linear model with an n-gram reference distribution for accurate HPSG parsing
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
Efficient HPSG parsing with supertagging and CFG-filtering
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Ambiguous part-of-speech tagging for improving accuracy and domain portability of syntactic parsers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Porting a lexicalized-grammar parser to the biomedical domain
Journal of Biomedical Informatics
HPSG supertagging: a sequence labeling view
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Smoothing fine-grained PCFG lexicons
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Dependency constraints for lexical disambiguation
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Faster parsing by supertagger adaptation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Forest-guided supertagger training
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Morphological analysis can improve a CCG parser for English
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Chart pruning for fast lexicalised-grammar parsing
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Computational linguistics and natural language processing
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Efficient CCG parsing: A* versus adaptive supertagging
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Training a log-linear parser with loss functions via softmax-margin
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Learning structural dependencies of words in the Zipfian tail
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
The challenges of parsing Chinese with combinatory categorial grammar
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Dependency hashing for n-best CCG parsing
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
CCG syntactic reordering models for phrase-based machine translation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Finite-state chart constraints for reduced complexity context-free parsing pipelines
Computational Linguistics
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This paper describes the role of supertagging in a wide-coverage CCG parser which uses a log-linear model to select an analysis. The supertagger reduces the derivation space over which model estimation is performed, reducing the space required for discriminative training. It also dramatically increases the speed of the parser. We show that large increases in speed can be obtained by tightly integrating the supertagger with the CCG grammar and parser. This is the first work we are aware of to successfully integrate a supertagger with a full parser which uses an automatically extracted grammar. We also further reduce the derivation space using constraints on category combination. The result is an accurate wide-coverage CCG parser which is an order of magnitude faster than comparable systems for other linguistically motivated formalisms.