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Unsupervised dependency parsing, which tries to discover linguistic dependency structures from unannotated data, is a very challenging task.
On shortest arborescence of a directed graph
Yoeng-Jin Chu and Tseng-Hong Liu. 1965 · 1965
Earlier work this paper cites.
Optimum branchings
Jack Edmonds. 1967 · 1967
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Finding optimum branchings
Robert Endre Tarjan. 1977 · 1977
Earlier work this paper cites.
Breaking out of local optima with count transforms and model recombination: A study in grammar induction
Valentin I Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky. 2013 · 1995
Earlier work this paper cites.
Three new probabilistic models for dependency parsing: An exploration
Jason M Eisner. 1996 · 1996
Earlier work this paper cites.
Cubic-time parsing and learning algorithms for grammatical bigram models
Mark A Paskin. 2001 · 2001
Earlier work this paper cites.
Corpus-based induction of syntactic structure: Models of dependency and constituency
Dan Klein and Christopher D Manning. 2004 · 2004
Earlier work this paper cites.
Online large-margin training of dependency parsers
Ryan McDonald, Koby Crammer, and Fernando Pereira. 2005 · 2005
Cited alongside, same era.
Structured prediction models via the matrix-tree theorem
Terry Koo, Amir Globerson, Xavier Carreras Pérez, and Michael Collins. 2007 · 2007
Cited alongside, same era.
Logistic normal priors for unsupervised probabilistic grammar induction
Shay B Cohen, Kevin Gimpel, and Noah A Smith. 2008 · 2008
Cited alongside, same era.
Painless unsupervised learning with features
Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, and Dan Klein. 2010 · 2010
Cited alongside, same era.
Unsupervised induction of tree substitution grammars for dependency parsing
Phil Blunsom and Trevor Cohn. 2010 · 2010
Cited alongside, same era.
Using universal linguistic knowledge to guide grammar induction
Tahira Naseem, Harr Chen, Regina Barzilay, and Mark Johnson. 2010 · 2010
The pascal challenge on grammar induction
Douwe Gelling, Trevor Cohn, Phil Blunsom, and Joao Graça. 2012 · 2012
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Unambiguity regularization for unsupervised learning of probabilistic grammars
Kewei Tu and Vasant Honavar. 2012 · 2012
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Conditional random field autoencoders for unsupervised structured prediction
Waleed Ammar, Chris Dyer, and Noah A Smith. 2014 · 2014
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A convex and feature-rich discriminative approach to dependency grammar induction
Edouard Grave and Noémie Elhadad. 2015 · 2015
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Unsupervised dependency parsing: Let’s use supervised parsers
Phong Le and Willem Zuidema. 2015 · 2015
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Unsupervised neural dependency parsing
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Cited alongside, same era.
Viterbi training improves unsupervised dependency parsing
Valentin I Spitkovsky, Hiyan Alshawi, Daniel Jurafsky, and Christopher D Manning. 2010 · 2010
Cited alongside, same era.
Yong Jiang, Wenjuan Han, and Kewei Tu. 2016 · 2016
Later among the works it cites.