Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Parsing inside-out
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Unsupervised learning of the morphology of a natural language
Computational Linguistics
Probabilistic top-down parsing and language modeling
Computational Linguistics
Stochastic attribute-value grammars
Computational Linguistics
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Statistical decision-tree models for parsing
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Estimators for stochastic "Unification-Based" grammars
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Discriminative Reranking for Natural Language Parsing
Computational Linguistics
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
The Harmonic Mind: From Neural Computation to Optimality-Theoretic GrammarVolume I: Cognitive Architecture (Bradford Books)
A TAG-based noisy channel model of speech repairs
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Corpus-based induction of syntactic structure: models of dependency and constituency
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Lateen EM: unsupervised training with multiple objectives, applied to dependency grammar induction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Linguistically motivated complementizer choice in surface realization
UCNLG+EVAL '11 Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop
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This paper discusses some of the ways that the "statistical revolution" has changed and continues to change the relationship between linguistics and computational linguistics. I claim that it is more useful in parsing to make an open world assumption about possible linguistic structures, rather than the closed world assumption usually made in grammar-based approaches to parsing, and I sketch two different ways in which grammar-based approaches might be modified to achieve this. I also describe some of the ways in which probabilistic models are starting to have a significant impact on psycholinguistics and language acquisition. In language acquisition Bayesian techniques may let us empirically evaluate the role of putative universals in universal grammar.