In this paper, we apply the divide-and-conquer philosophy to matching a pair of articles and bring deep text understanding from the currently dominating sequential modeling of language elements to a new level of graphical document representation, which is more suitable for longer articles.
we have made the following contributions: First, we propose the so-called Concept Interaction Graph (CIG) to represent a document as a weighted graph of concepts, where each concept vertex is either a keyword or a set of tightly connected keywords.