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» A Structured Context Model for Grammar Learning
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ACL
2010
13 years 5 months ago
Blocked Inference in Bayesian Tree Substitution Grammars
Learning a tree substitution grammar is very challenging due to derivational ambiguity. Our recent approach used a Bayesian non-parametric model to induce good derivations from tr...
Trevor Cohn, Phil Blunsom
IGPL
2007
125views more  IGPL 2007»
13 years 7 months ago
Morph Moulder: Teaching Software for HPSG and Description Logics
The graphical software Morph Moulder (MoMo) presented here was originally created for teaching the logical foundations of Head-Driven Phrase Structure Grammar (HPSG) in an e-Learn...
Ekaterina Ovchinnikova, Frank Richter
NIPS
2001
13 years 9 months ago
Grammatical Bigrams
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Mark A. Paskin
NIPS
2007
13 years 9 months ago
Retrieved context and the discovery of semantic structure
Semantic memory refers to our knowledge of facts and relationships between concepts. A successful semantic memory depends on inferring relationships between items that are not exp...
Vinayak Rao, Marc Howard
BIRTHDAY
2009
Springer
14 years 2 months ago
Formal Grammars of Early Language
We propose to model the development of language by a series of formal grammars, accounting for the linguistic capacity of children at the very early stages of mastering language. T...
Shuly Wintner, Alon Lavie, Brian MacWhinney