Demonstrating Mutual Reinforcement Effect through Information Flow

arXiv:2403.02902v1 Announce Type: new
Abstract: The Mutual Reinforcement Effect (MRE) investigates the synergistic relationship between word-level and text-level classifications in text classification tasks. It posits that the performance of both classification levels can be mutually enhanced. However, this mechanism has not been adequately demonstrated or explained in prior research. To address this gap, we employ information flow analysis to observe and substantiate the MRE theory. Our experiments on six MRE hybrid datasets revealed the presence of MRE in the model …

abstract arxiv classification cs.cl explained flow gap information performance prior reinforcement relationship research tasks text text classification through type word