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Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings
Paul Felt
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Eric Ringger
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Kevin Seppi
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Natalie Parde
|
Rodney Nielsen
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Finding Convincing Arguments Using Scalable Bayesian Preference Learning
Edwin Simpson
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Iryna Gurevych
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http://mturk.com
http://crowdflower.com
http://web.eecs.umich.edu/
http://www.crowdflower.com/data-for-everyone
Field Of Study
Linguistic Trends
Embeddings
Task
Chunking
Word Sense Disambiguation
Semantic Similarity
Relation Extraction
Approach
Human Computation
Topic Modeling
Deep Learning
Generative Model
Language
English
Dataset
Twitter
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