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835
Generation of efficient parsers through direct compilation of XML Schema grammars
"... this paper we present a method for generating efficient parsers by using the schema component model itself as the representation of the grammar. We show that the model supports the full expressive power of the XML Schema, and we present results demonstrating significant performance improvements over ..."
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this paper we present a method for generating efficient parsers by using the schema component model itself as the representation of the grammar. We show that the model supports the full expressive power of the XML Schema, and we present results demonstrating significant performance improvements
Abstract A Robust and Efficient Parser for Non-Canonical Inputs
"... We present in this paper a parser relying on a constraint-based formalism called Property Grammar. We show how constraints constitute an efficient solution in parsing non canonical material such as spoken language transcription or e-mails. This technique, provided that it is implemented with some co ..."
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We present in this paper a parser relying on a constraint-based formalism called Property Grammar. We show how constraints constitute an efficient solution in parsing non canonical material such as spoken language transcription or e-mails. This technique, provided that it is implemented with some
Abstract A Robust and Efficient Parser for Non-Canonical Inputs
"... We present in this paper a parser relying on a constraint-based formalism called Property Grammar. We show how constraints constitute an efficient solution in parsing non canonical material such as spoken language transcription or e-mails. This technique, provided that it is implemented with some co ..."
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We present in this paper a parser relying on a constraint-based formalism called Property Grammar. We show how constraints constitute an efficient solution in parsing non canonical material such as spoken language transcription or e-mails. This technique, provided that it is implemented with some
Fence — An Efficient Parser with Ambiguity Support for Model-Driven Language Specification
"... ar ..."
Online large-margin training of dependency parsers
- In Proc. ACL
, 2005
"... We present an effective training algorithm for linearly-scored dependency parsers that implements online largemargin multi-class training (Crammer and Singer, 2003; Crammer et al., 2003) on top of efficient parsing techniques for dependency trees (Eisner, 1996). The trained parsers achieve a competi ..."
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Cited by 306 (23 self)
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We present an effective training algorithm for linearly-scored dependency parsers that implements online largemargin multi-class training (Crammer and Singer, 2003; Crammer et al., 2003) on top of efficient parsing techniques for dependency trees (Eisner, 1996). The trained parsers achieve a
Discriminative Reranking for Natural Language Parsing
, 2005
"... This article considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with associated probabilities that define an initial ranking of these parses. A second model then attempts to improve upon this i ..."
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Cited by 333 (9 self)
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This article considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with associated probabilities that define an initial ranking of these parses. A second model then attempts to improve upon
Efficient third-order dependency parsers
- In ACL ’10
, 2010
"... We present algorithms for higher-order dependency parsing that are “third-order” in the sense that they can evaluate substructures containing three dependencies, and “efficient ” in the sense that they require only O(n4) time. Importantly, our new parsers can utilize both sibling-style and grandchil ..."
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Cited by 68 (1 self)
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We present algorithms for higher-order dependency parsing that are “third-order” in the sense that they can evaluate substructures containing three dependencies, and “efficient ” in the sense that they require only O(n4) time. Importantly, our new parsers can utilize both sibling
Wide-coverage efficient statistical parsing with CCG and log-linear models
- COMPUTATIONAL LINGUISTICS
, 2007
"... This paper describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are "full" parsing models in the sense that probabilities are defined for complete parses, rather than for independent events derived by decomposing the parse tree. Dis ..."
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Cited by 218 (43 self)
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lexical categories to words in a sentence. The supertagger makes the discriminative training feasible, and also leads to a highly efficient parser. Surprisingly,
A Probabilistic Earley Parser as a Psycholinguistic Model
- IN PROCEEDINGS OF NAACL
, 2001
"... In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options that have been disconfirmed at some point in a sentence: the surprisal of word w i given its prefix w 0...i-1 on a phras ..."
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Cited by 146 (5 self)
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phrase-structural language model. These loads can be efficiently calculated using a probabilistic Earley parser (Stolcke, 1995) which is interpreted as generating predictions about reading time on a word-by-word basis. Under grammatical assumptions supported by corpusfrequency data, the operation
Efficient Combinator Parsers
- In Implementation of Functional Languages, LNCS
, 1998
"... . Parser combinators enable the construction of recursive descent parsers in a very clear and simple way. Unfortunately, the resulting parsers have a polynomial complexity and are far too slow for realistic inputs. We show how the speed of these parsers can be improved by one order of magnitude usin ..."
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Cited by 12 (0 self)
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. Parser combinators enable the construction of recursive descent parsers in a very clear and simple way. Unfortunately, the resulting parsers have a polynomial complexity and are far too slow for realistic inputs. We show how the speed of these parsers can be improved by one order of magnitude
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