The syntactic process
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Generative models for statistical parsing with Combinatory Categorial Grammar
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank
Computational Linguistics
Using universal linguistic knowledge to guide grammar induction
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Covariance in Unsupervised Learning of Probabilistic Grammars
The Journal of Machine Learning Research
Inducing Tree-Substitution Grammars
The Journal of Machine Learning Research
The PASCAL Challenge on Grammar Induction
WILS '12 Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure
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Our system consists of a simple, EM-based induction algorithm (Bisk and Hockenmaier, 2012), which induces a language-specific Combinatory Categorial grammar (CCG) and lexicon based on a small number of linguistic principles, e.g. that verbs may be the roots of sentences and can take nouns as arguments.