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Development and Evaluation of a Broad-Coverage Probabilistic Grammar of English-Language Computer Manuals
Ezra Black
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John Lafferty
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Salim Roukos
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Paper Details:
Month: June
Year: 1992
Location: Newark, Delaware, USA
Venue:
ACL |
Citations
URL
PRINCIPAR - An Efficient, Broad-coverage, Principle-based Parser
Dekang Lin
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Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation
Reut Tsarfaty
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Ilia Pogrebezky
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Guy Weiss
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Yaarit Natan
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Smadar Szekely
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David Harel
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An efficient implementation of a new DOP model
Rens Bod
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Parsing the Wall Street Journal with the Inside-Outside Algorithm
Yves Schabes
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Michal Roth
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Randy Osborne
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Decision Tree Parsing using a Hidden Derivation Model
F. Jelinek
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J. Lafferty
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D. Magerman
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R. Mercer
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A. Ratnaparkhi
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S. Roukos
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University of Manitoba: Description of the NUBA System as Used for MUC-5
Dekang Lin
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Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
Gregory Druck
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Gideon Mann
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Andrew McCallum
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Parsing as Reduction
Daniel Fernández-González
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André F. T. Martins
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USING BRACKETED PARSES TO EVALUATE A GRAMMAR CHECKING APPLICATION
Richard H. Wojcik
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Philip Harrison
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John Bremer
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A LANGUAGE-INDEPENDENT ANAPHORA RESOLUTION SYSTEM FOR UNDERSTANDING MULTILINGUAL TEXTS
Chinatsu Aone
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Douglas McKee
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Learning Parse and Translation Decisions from Examples with Rich Context
Ulf Hermjakob
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Raymond J. Mooney
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A Distributional Analysis of a Lexicalized Statistical Parsing Model
Daniel M. Bikel
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Reestimation and Best-First Parsing Algorithm for Probabilistic Dependency Grammars
Seungmi Lee
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Key-Sun Choi
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Language Understanding
Machine Translation
Language
English
Dataset
News
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