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The Illinois-Columbia System in the CoNLL-2014 Shared Task
Alla Rozovskaya
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Kai-Wei Chang
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Mark Sammons
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Dan Roth
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Nizar Habash
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
System Combination for Grammatical Error Correction
Raymond Hendy Susanto
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Peter Phandi
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Hwee Tou Ng
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Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
Marcin Junczys-Dowmunt
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Roman Grundkiewicz
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Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models
Shamil Chollampatt
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Duc Tam Hoang
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Hwee Tou Ng
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Neural Sequence-Labelling Models for Grammatical Error Correction
Helen Yannakoudakis
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Marek Rei
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Øistein E. Andersen
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Zheng Yuan
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Grammatical error correction using neural machine translation
Zheng Yuan
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Ted Briscoe
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Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
Tomoya Mizumoto
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Yuji Matsumoto
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How Far are We from Fully Automatic High Quality Grammatical Error Correction?
Christopher Bryant
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Hwee Tou Ng
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Compositional Sequence Labeling Models for Error Detection in Learner Writing
Marek Rei
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Helen Yannakoudakis
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Fluency Boost Learning and Inference for Neural Grammatical Error Correction
Tao Ge
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Furu Wei
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Ming Zhou
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The CoNLL-2014 Shared Task on Grammatical Error Correction
Hwee Tou Ng
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Siew Mei Wu
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Ted Briscoe
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Christian Hadiwinoto
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Raymond Hendy Susanto
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Christopher Bryant
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Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction
Allen Schmaltz
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Yoon Kim
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Alexander M. Rush
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Stuart Shieber
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Candidate re-ranking for SMT-based grammatical error correction
Zheng Yuan
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Ted Briscoe
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Mariano Felice
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Auxiliary Objectives for Neural Error Detection Models
Marek Rei
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Helen Yannakoudakis
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http://cogcomp.cs.illinois.edu/page/
http://cogcomp.cs.illinois.edu/page/
http://jazzy.sourceforge.net
http://cogcomp.cs.illinois.edu/cssc/
Field Of Study
Task
Spelling Correction
Approach
Discriminative Model
Language
Chinese
English
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