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NIPS
2008
15 years 3 months ago
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
FSMNLP
2005
Springer
15 years 7 months ago
Parsing with Lexicalized Probabilistic Recursive Transition Networks
Abstract. We present a formalization of lexicalized Recursive Transition Networks which we call Automaton-Based Generative Dependency Grammar (gdg). We show how to extract a gdg fr...
Alexis Nasr, Owen Rambow
119
Voted
EMNLP
2009
14 years 11 months ago
Self-Training PCFG Grammars with Latent Annotations Across Languages
We investigate the effectiveness of selftraining PCFG grammars with latent annotations (PCFG-LA) for parsing languages with different amounts of labeled training data. Compared to...
Zhongqiang Huang, Mary P. Harper
115
Voted
COLING
1992
15 years 3 months ago
Knowledge Acquisition And Chinese Parsing Based On Corpus
In Natural Language Processing (NLP), one key problem is how to design a robust and effective parsing system. In this paper, we will introduce a corpm- based Chinese parsing syste...
Chunfa Yuan, Changning Huang, Shimei Pan
174
Voted
CPP
2011
107views more  CPP 2011»
14 years 1 months ago
Simple, Functional, Sound and Complete Parsing for All Context-Free Grammars
Parsing text to identify grammatical structure is a common task, especially in relation to programming languages and associated tools such as compilers. Parsers for context-free g...
Tom Ridge