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» Structural Correspondence Learning for Dependency Parsing
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EMNLP
2007
9 years 3 months ago
Structural Correspondence Learning for Dependency Parsing
Following (Blitzer et al., 2006), we present an application of structural correspondence learning to non-projective dependency parsing (McDonald et al., 2005). To induce the corre...
Nobuyuki Shimizu, Hiroshi Nakagawa
EMNLP
2008
9 years 3 months ago
LTAG Dependency Parsing with Bidirectional Incremental Construction
In this paper, we first introduce a new architecture for parsing, bidirectional incremental parsing. We propose a novel algorithm for incremental construction, which can be applie...
Libin Shen, Aravind K. Joshi
ACL
2004
9 years 3 months ago
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
Dan Klein, Christopher D. Manning
EACL
2006
ACL Anthology
9 years 3 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
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