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A Report on the Automatic Evaluation of Scientific Writing Shared Task
Vidas Daudaravicius
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Rafael E. Banchs
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Elena Volodina
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Courtney Napoles
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Paper Details:
Month: June
Year: 2016
Location: San Diego, CA
Venue:
BEA |
WS |
SIG: SIGEDU
Citations
URL
‘Calling on the classical phone’: a distributional model of adjective-noun errors in learners’ English
Aurélie Herbelot
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Ekaterina Kochmar
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Adapting Sequence Models for Sentence Correction
Allen Schmaltz
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Yoon Kim
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Alexander Rush
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Stuart Shieber
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Identifying Well-formed Natural Language Questions
Manaal Faruqui
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Dipanjan Das
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Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Marek Rei
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Anders Søgaard
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UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection
Dan Flickinger
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Michael Goodman
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Woodley Packard
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Combined Tree Kernel-based classifiers for Assessing Quality of Scientific Text
Liliana Mamani Sanchez
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Hector-Hugo Franco-Penya
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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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Combining Off-the-shelf Grammar and Spelling Tools for the Automatic Evaluation of Scientific Writing (AESW) Shared Task 2016
René Witte
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Bahar Sateli
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NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
Roger Vivek Placidus Winder
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Joseph MacKinnon
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Shu Yun Li
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Benedict Christopher Tzer Liang Lin
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Carmel Lee Hah Heah
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Luís Morgado da Costa
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Takayuki Kuribayashi
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Francis Bond
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Annotation and Classification of Sentence-level Revision Improvement
Tazin Afrin
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Diane Litman
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Neural sequence modelling for learner error prediction
Zheng Yuan
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http://www.springer.com/gp/
http://www.vtex.lt
http://codalab.org/
https://competitions.codalab.org
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Approach
Deep Learning
Language
English
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