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NIPS
2008
13 years 6 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
JMLR
2010
137views more  JMLR 2010»
12 years 11 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
13 years 10 months ago
Evolutionary Computing as a Tool for Grammar Development
Abstract. In this paper, an agent-based evolutionary computing technique is introduced, that is geared towards the automatic induction and optimization of grammars for natural lang...
Guy De Pauw
KI
2004
Springer
13 years 10 months ago
Generation of Sentence Parse Trees Using Parts of Speech
This paper proposes a new corpus-based approach for deriving syntactic structures and generating parse trees of natural language sentences. The parts of speech (word categories) of...
Tunga Güngör
ICCPOL
2009
Springer
13 years 9 months ago
Processing of Korean Natural Language Queries Using Local Grammars
Abstract. For casual web users, a natural language is more accessible than formal query languages. However, understanding of a natural language query is not trivial for computer sy...
Tae-Gil Noh, Yong-Jin Han, Seong-Bae Park, Se-Youn...