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Reducing Annotation Efforts in Supervised Short Answer Scoring
Torsten Zesch
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Michael Heilman
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Aoife Cahill
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
BEA |
WS |
SIG: SIGEDU
Citations
URL
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit
Torsten Zesch
|
Andrea Horbach
|
Semi-Supervised Clustering for Short Answer Scoring
Andrea Horbach
|
Manfred Pinkal
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Automatically Extracting Topical Components for a Response-to-Text Writing Assessment
Zahra Rahimi
|
Diane Litman
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Investigating Active Learning for Short-Answer Scoring
Andrea Horbach
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Alexis Palmer
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A Large Scale Quantitative Exploration of Modeling Strategies for Content Scoring
Nitin Madnani
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Anastassia Loukina
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Aoife Cahill
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Using exemplar responses for training and evaluating automated speech scoring systems
Anastassia Loukina
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Klaus Zechner
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James Bruno
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Beata Beigman Klebanov
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Work Smart - Reducing Effort in Short-Answer Grading
Margot Mieskes
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Ulrike Padó
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http://clearnlp.wikispaces.com
https://github.com/zesch/exp-grading-bea2015
http://kaggle.com/asap-sas/
http://kaggle.com/asap-sas/
Field Of Study
Language
English
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