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Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Incorporating Item Response Theory (IRT) into NLP tasks can provide valuable information about model performance and behavior. Traditionally, IRT models are learned using human response pattern (RP) data, presenting a significant bottleneck for large data sets like those required for training deep n...
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| Publicat a: | Proc Conf Empir Methods Nat Lang Process |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6892593/ https://ncbi.nlm.nih.gov/pubmed/31803865 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18653/v1/D19-1434 |
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