Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings

@inproceedings{Felt2016SemanticAA,
  title={Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings},
  author={Paul Felt and Eric K. Ringger and Kevin D. Seppi},
  booktitle={COLING},
  year={2016}
}
In modern text annotation projects, crowdsourced annotations are often aggregated using item response models or by majority vote. Recently, item response models enhanced with generative data models have been shown to yield substantial benefits over those with conditional or no data models. However, suitable generative data models do not exist for many tasks, such as semantic labeling tasks. When no generative data model exists, we demonstrate that similar benefits may be derived by… CONTINUE READING

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