On the utility of curricula in unsupervised learning of probabilistic grammars

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2011, Pages 1523-1528

  Tu, Kewei ^a   Honavar, Vasant ^a  

^a Iowa State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INCREMENTAL CONSTRUCTION; NATURAL LANGUAGES; PROBABILISTIC GRAMMARS; SYNTHETIC DATA; TRAINING SAMPLE;

ARTIFICIAL INTELLIGENCE; UNSUPERVISED LEARNING;

CURRICULA;

EID: 84868299604     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-256     Document Type: Conference Paper

References (9)

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3. Jeffrey L. Elman. Learning and development in neural networks: The importance of starting small. Cognition, 48:71-99, 1993.
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5. K. Lari and S. Young. The estimation of stochastic context-free grammars using the inside-outside algorithm. Computer Speech and Language, 4:35-36, 1990.
6. Christopher D. Manning and Hinrich Schütze. Foundations of statistical natural language processing. MIT Press, Cambridge, MA, USA, 1999.
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8. Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. From baby steps to leapfrog: How "less is more" in unsupervised dependency parsing. In NAACL, 2010.
9. Kewei Tu and Vasant Honavar. On the utility of curricula in unsupervised learning of probabilistic grammars (supplementary material). Technical report, Computer Science, Iowa State University. Available at http://archives.cs. iastate.edu/, 2011.