Statistical parsing

Known as: Stochastic parsing 
Statistical parsing is a group of parsing methods within natural language processing. The methods have in common that they associate grammar rules… (More)
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Highly Cited
2007
Highly Cited
2007
This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are… (More)
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Highly Cited
2004
Highly Cited
2004
Corpus-based statistical parsing relies on using large quantities of annotated text as training examples. Building this kind of… (More)
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Highly Cited
2004
Highly Cited
2004
ON THE PARAMETER SPACE OF GENERATIVE LEXICALIZED STATISTICAL PARSING MODELS Daniel M. Bikel Supervisor: Mitchell P. Marcus In… (More)
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Highly Cited
2003
Highly Cited
2003
This dissertation is concerned with the creation of training data and the development of probability models for statistical… (More)
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Highly Cited
2001
Highly Cited
2001
We propose a novel Co-Training method for statistical parsing. The algorithm takes as input a small corpus (9695 sentences… (More)
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Highly Cited
2000
Highly Cited
2000
We discuss the advantages of lexicalized tree-adjoining grammar as an alternative to lexicalized PCFG for statistical parsing… (More)
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Highly Cited
2000
Highly Cited
2000
This paper presents the rst-ever results of applying statistical parsing models to the newly-available Chinese Treebank. We have… (More)
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Highly Cited
2000
Highly Cited
2000
ÐThis paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and… (More)
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Highly Cited
1999
Highly Cited
1999
This paper considers statistical parsing of Czech, which differs radically from English in at leasttwo respects: (1) it is a… (More)
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Highly Cited
1997
Highly Cited
1997
We describe a parsing system based upon a language model for English that is, in turn, based upon assigning probabilities to… (More)
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