Sequential classifiers like LSTMs are good at learning temporal structure and are biased to use prior inputs to predict outputs (Eck and Schmidhuber, 2002).
when it comes to comparison tasks like stance classification in threaded discussions, each reply is made against a post or a response to a source post (see Fig.