Context Matters in Data-Centric NLP

In model-centric approaches to AI, you accept the data you're given and focus on iteratively improving your model. In data-centric AI, however, you focus on improving your data instead. One important aspect: the context your data comes from, and whether that's captured by your features and labels… This article (cross-posted from the Surge AI blog) goes into 5 examples where context-sensitive features and context-sensitive labels are crucial for AI applications. Is that an insult or a compliment? I can't believe these kids support sweatshops.