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9

EMNLP
2007

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Multilingual Dependency Parsing Using Global Features

13 years 5 months ago

Multilingual Dependency Parsing Using Global Features

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In this paper, we describe a two-stage multilingual dependency parser used for the multilingual track of the CoNLL 2007 shared task. The system consists of two components: an unlabeled dependency parser using Gibbs sampling which can incorporate sentence-level (global) features as well as token-level (local) features, and a dependency relation labeling module based on Support Vector Machines. Experimental results show that the global features are useful in all the languages.

Tetsuji Nakagawa

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Dependency Parser | EMNLP 2007 | Multilingual Dependency Parser | Natural Language Processing | Unlabeled Dependency Parser |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2007
Where	EMNLP
Authors	Tetsuji Nakagawa

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