Build It, Break It: The Language EditionAre you a Builder? Do you think your approach to natural language processing problems can withstand attacks? Is it robust to unexpected inputs, or domain mismatch? Will a rule-based approach hold up better than a learning-based approach? Participate in our shared tasks by solving an NLP problem—by rules or by learning—and learn how your approach stacks up against others on adversarially, linguisti
