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ACL
2008
15 years 1 days ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin
ACL
2010
14 years 8 months ago
Bitext Dependency Parsing with Bilingual Subtree Constraints
This paper proposes a dependency parsing method that uses bilingual constraints to improve the accuracy of parsing bilingual texts (bitexts). In our method, a targetside tree frag...
Wenliang Chen, Jun'ichi Kazama, Kentaro Torisawa
EMNLP
2006
14 years 12 months ago
Incremental Integer Linear Programming for Non-projective Dependency Parsing
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...
Sebastian Riedel, James Clarke
ACL
2011
14 years 2 months ago
Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
Dependency parsing is a central NLP task. In this paper we show that the common evaluation for unsupervised dependency parsing is highly sensitive to problematic annotations. We s...
Roy Schwartz, Omri Abend, Roi Reichart, Ari Rappop...
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EMNLP
2007
15 years 1 days ago
Characterizing the Errors of Data-Driven Dependency Parsing Models
We present a comparative error analysis of the two dominant approaches in datadriven dependency parsing: global, exhaustive, graph-based models, and local, greedy, transition-base...
Ryan T. McDonald, Joakim Nivre