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An Ensemble Method for Selection of High Quality Parses
Roi Reichart
|
Ari Rappoport
|
Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
ACL |
Citations
URL
Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures
Kun Yu
|
Daisuke Kawahara
|
Sadao Kurohashi
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Improved Fully Unsupervised Parsing with Zoomed Learning
Roi Reichart
|
Ari Rappoport
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
|
A Quality-based Active Sample Selection Strategy for Statistical Machine Translation
Varvara Logacheva
|
Lucia Specia
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Multi-Task Active Learning for Linguistic Annotations
Roi Reichart
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Katrin Tomanek
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Udo Hahn
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Ari Rappoport
|
Confidence Driven Unsupervised Semantic Parsing
Dan Goldwasser
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Roi Reichart
|
James Clarke
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Dan Roth
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Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
Roi Reichart
|
Ari Rappoport
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ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
Felice Dell’Orletta
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Giulia Venturi
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Simonetta Montemagni
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http://www.cis.upenn.edu.bikel
Field Of Study
Task
Information Extraction
Approach
Generative Model
Language
English
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