Labeling for NLP

Bengsoon shares insights on the importance of user collaboration in labeling data for NLP tasks. By sampling the same data set across multiple users, he identifies contentious labels and fosters discussions to reach consensus. With an initial goal of 1800 to 2000 labeled samples, he emphasizes the challenges of training models without extensive infrastructure.