These learning objectives together allow the model to learn representations that can be easily fine-tuned to achieve state-of-the-art performance for a wide range of natural language processing tasks.
to existing datasets, ours consists of argument trees where each root node represents the argument thesis (main claim) and every other node represents a claim that either supports or opposes its parent.