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115
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TAL
2010
Springer
14 years 8 months ago
The Effect of Semi-supervised Learning on Parsing Long Distance Dependencies in German and Swedish
This paper shows how the best data-driven dependency parsers available today [1] can be improved by learning from unlabeled data. We focus on German and Swedish and show that label...
Anders Søgaard, Christian Rishøj
102
Voted
JMLR
2010
155views more  JMLR 2010»
14 years 8 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...
ACL
2007
14 years 11 months ago
Coordinate Noun Phrase Disambiguation in a Generative Parsing Model
In this paper we present methods for improving the disambiguation of noun phrase (NP) coordination within the framework of a lexicalised history-based parsing model. As well as re...
Deirdre Hogan
89
Voted
EMNLP
2007
14 years 11 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
87
Voted
ACL
2009
14 years 8 months ago
Concise Integer Linear Programming Formulations for Dependency Parsing
We formulate the problem of nonprojective dependency parsing as a polynomial-sized integer linear program. Our formulation is able to handle non-local output features in an effici...
André L. Martins, Noah A. Smith, Eric P. Xi...