27 citations · 50 across the 5 of their papers we have counts for
3 papers · 1 filter
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
Jason Wei, Chengyu Huang, Soroush Vosoughi +2
Few-shot text classification is a fundamental NLP task in which a model aims to classify text into a large number of categories, given only a few training examples per category. Th…
Text Augmentation in a Multi-Task View
Jason Wei, Chengyu Huang, Shiqi Xu +1
Traditional data augmentation aims to increase the coverage of the input distribution by generating augmented examples that strongly resemble original samples in an online fashion…
What Are People Asking About COVID-19? A Question Classification Dataset
Jerry Wei, Chengyu Huang, Soroush Vosoughi +1
We present COVID-Q, a set of 1,690 questions about COVID-19 from 13 sources, which we annotate into 15 question categories and 207 question clusters. The most common questions in o…