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» Structural Correspondence Learning for Dependency Parsing
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EMNLP
2007
15 years 15 days 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
15 years 15 days 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
15 years 13 days 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
15 years 13 days 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