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» Learning for Semantic Parsing
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COLING
2008
15 years 2 months ago
Learning Reliable Information for Dependency Parsing Adaptation
In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...
Wenliang Chen, Youzheng Wu, Hitoshi Isahara
ACL
2003
15 years 2 months ago
Probabilistic Parsing for German Using Sister-Head Dependencies
We present a probabilistic parsing model for German trained on the Negra treebank. We observe that existing lexicalized parsing models using head-head dependencies, while successf...
Amit Dubey, Frank Keller
ESOP
2010
Springer
15 years 4 months ago
TRX: A Formally Verified Parser Interpreter
Parsing is an important problem in computer science and yet surprisingly little attention has been devoted to its formal verification. In this paper, we present TRX: a parser inter...
Adam Koprowski, Henri Binsztok
NIPS
2008
15 years 2 months ago
Syntactic Topic Models
We develop the syntactic topic model (STM), a nonparametric Bayesian model of parsed documents. The STM generates words that are both thematically and syntactically constrained, w...
Jordan L. Boyd-Graber, David M. Blei
NLE
2008
140views more  NLE 2008»
15 years 1 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne