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Squibs: From Annotator Agreement to Noise Models
Beata Beigman Klebanov
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Eyal Beigman
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Paper Details:
Year: 2009
Venue:
CL |
Citations
URL
What Determines Inter-Coder Agreement in Manual Annotations? A Meta-Analytic Investigation
Petra Saskia Bayerl
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Karsten Ingmar Paul
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Last Words: On the Problem of Theoretical Terms in Empirical Computational Linguistics
Stefan Riezler
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Automated Essay Scoring in the Presence of Biased Ratings
Evelin Amorim
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Marcia Cançado
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Adriano Veloso
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Learning with Annotation Noise
Eyal Beigman
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Beata Beigman Klebanov
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Evaluating the Impact of Coder Errors on Active Learning
Ines Rehbein
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Josef Ruppenhofer
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Difficult Cases: From Data to Learning, and Back
Beata Beigman Klebanov
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Eyal Beigman
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Short Answer Assessment: Establishing Links Between Research Strands
Ramon Ziai
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Niels Ott
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Detmar Meurers
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Situation Entity Annotation
Annemarie Friedrich
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Alexis Palmer
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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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No URLs Found
Field Of Study
Language
English
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