This competition is designed to explore various semi-supervised and transfer learning approaches to NLP, namely, to text classification.

Here you're going to classify articles into news, clickbait and other. Do resort to unlabeled data to improve classification. Try various SotA approaches: ULMFiT, BERT fine-tuning etc.

Please share your findings via Kernels and Discussions.

Credit for this competition goes to iPavlov research group and personally to Vladislav Lyalin. The competition is another launch of [this one](https://www.kaggle.com/c/dlinnlp-spring-2019-clf/overview) organized as a part of "DL in NLP" course by iPavlov.