helpResearch questionNLP Model Error Analysis and Visualization Support
How can out-of-distribution (OOD) data in natural language be automatically detected and efficiently analyzed in deep learning models?Direction: Data Annotation, Model Debugging, and Data Work
NLP Model Error Analysis and Visualization Support
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helpResearch questionNLP Model Error Analysis and Visualization Support
Which techniques and visualization methods can help developers understand causes and characteristics of OOD data?helpResearch questionNLP Model Error Analysis and Visualization Support
How can interactive systems reduce developers' cognitive burden in OOD problem analysis compared with existing tools?lightbulbPractical problemNLP Model Error Analysis and Visualization Support
Developers are inefficient and heavily burdened when analyzing OOD data in NLP models.helpResearch questionNLP Model Error Analysis and Visualization Support
How can NLP model error analysis be improved by automatically discovering semantically related error subgroups?helpResearch questionNLP Model Error Analysis and Visualization Support
How can multi-level semantic features (e.g., lexical, conceptual, high-level features) explain NLP model error distributions and behavior?helpResearch questionNLP Model Error Analysis and Visualization Support
Are graphical user interfaces effective in supporting non-technical users in semantic error analysis?lightbulbPractical problemNLP Model Error Analysis and Visualization Support
NLP model error sources are difficult to understand, and existing tools offer limited support for non-technical users.Related papers
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