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» Learning for Semantic Parsing
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COLING
2008
13 years 10 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
13 years 10 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
14 years 5 days 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
13 years 10 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»
13 years 8 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