• 31 August, 2020
  • 1 min read

October 13: Careful Considerations in NLP - Datasets and Error Analysis

Curating a dataset for ML applications involves decisions that are prone to subjectivity, which poses both ethical and technical issues. After creating datasets and running them through a model, there aren't many best practices on error analysis to better understand systematic behavior in NLP. Join us for a conversation on strategies for being a critical consumer and producer of datasets and operationalizing linguistically informed error analysis in various NLP applications!

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