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» Selective Sharing for Multilingual Dependency Parsing
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EMNLP
2007
13 years 6 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
EMNLP
2007
13 years 6 months ago
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
Kenji Sagae, Jun-ichi Tsujii
EMNLP
2007
13 years 6 months ago
The CoNLL 2007 Shared Task on Dependency Parsing
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in...
Joakim Nivre, Johan Hall, Sandra Kübler, Ryan...
EMNLP
2007
13 years 6 months ago
Experiments with a Higher-Order Projective Dependency Parser
We present experiments with a dependency parsing model defined on rich factors. Our model represents dependency trees with factors that include three types of relations between t...
Xavier Carreras
EMNLP
2007
13 years 6 months ago
Single Malt or Blended? A Study in Multilingual Parser Optimization
We describe a two-stage optimization of the MaltParser system for the ten languages in the multilingual track of the CoNLL 2007 shared task on dependency parsing. The first stage...
Johan Hall, Jens Nilsson, Joakim Nivre, Gülse...