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Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA
Paul Felt
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Eric Ringger
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Jordan Boyd-Graber
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Kevin Seppi
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings
Paul Felt
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Eric Ringger
|
Kevin Seppi
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Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types
Paul Felt
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Eric Ringger
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Jordan Boyd-Graber
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Kevin Seppi
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Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Natalie Parde
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Rodney Nielsen
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Comparing Bayesian Models of Annotation
Silviu Paun
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Bob Carpenter
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Jon Chamberlain
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Dirk Hovy
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Udo Kruschwitz
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Massimo Poesio
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http://www.crowdflower.com/data-for-everyone
http://mallet.cs.umass.edu
Field Of Study
Task
Corpus Annotation
Text Categorization
Language
English
Dataset
News
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