Sequence tagging and parsing are sequence learning tasks that involve annotating a text sequence with specific attributes. In these problems, the inputs and outputs are strictly aligned, meaning they share the exact same number of elements and occur in a corresponding order. An example is part-of-speech tagging, where every word in a sentence is annotated with its corresponding grammatical role.