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Data Annotation, Model Debugging, and Data Work / NLP Model Error Analysis and Visualization Support

Developers are inefficient and heavily burdened when analyzing OOD data in NLP models.

lightbulbPractical problemNLP Model Error Analysis and Visualization Support

Developers are inefficient and heavily burdened when analyzing OOD data in NLP models.

CHI '23DeepLens: Interactive Out-of-distribution Data Detection in NLP Models

Similar questions

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.

IUI '22iSEA : An Interactive Pipeline for Semantic Error Analysis of NLP Models

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DeepLens: Interactive Out-of-distribution Data Detection in NLP Models

Da Song, Zhijie Wang, Yuheng Huang

iSEA : An Interactive Pipeline for Semantic Error Analysis of NLP Models

Jun Yuan, Jesse Vig, Nazneen Rajani