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Improving Parsing Accuracy by Combining Diverse Dependency Parsers
Daniel Zeman
|
Zdeněk Žabokrtský
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Paper Details:
Month: October
Year: 2005
Location: Vancouver, British Columbia
Venue:
IWPT |
WS |
SIG: SIGPARSE
Citations
URL
Semi-supervised dependency parsing using generalized tri-training
Anders Søgaard
|
Christian Rishøj
|
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
Kenji Sagae
|
Jun’ichi Tsujii
|
K-Best Combination of Syntactic Parsers
Hui Zhang
|
Min Zhang
|
Chew Lim Tan
|
Haizhou Li
|
Syntactic Parse Fusion
Do Kook Choe
|
David McClosky
|
Eugene Charniak
|
Incremental Graph-based Neural Dependency Parsing
Xiaoqing Zheng
|
Analyzing and Integrating Dependency Parsers
Ryan McDonald
|
Joakim Nivre
|
Parser Combination by Reparsing
Kenji Sagae
|
Alon Lavie
|
Graph Transformations in Data-Driven Dependency Parsing
Jens Nilsson
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Joakim Nivre
|
Johan Hall
|
HPSG Parsing with Shallow Dependency Constraints
Kenji Sagae
|
Yusuke Miyao
|
Jun’ichi Tsujii
|
Learning Ensembles of Structured Prediction Rules
Corinna Cortes
|
Vitaly Kuznetsov
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Mehryar Mohri
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Hybrid Combination of Constituency and Dependency Trees into an Ensemble Dependency Parser
Nathan Green
|
Zdeněk Žabokrtský
|
Using an SVM Ensemble System for Improved Tamil Dependency Parsing
Nathan Green
|
Loganathan Ramasamy
|
Zdeněk Žabokrtský
|
Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers
Nathan Green
|
Zdeněk Žabokrtský
|
http://www.clsp.jhu.edu/ws98/projects/
Field Of Study
Task
Tagging
Word Sense Disambiguation
Named Entity Recognition
Question Answering
Machine Translation
Language
English
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