How Well Apply Simple MLP to Incomplete Utterance Rewriting?
Jiang Li, Xiangdong Su, Xinlan Ma, Guanglai Gao · 2023
Incomplete utterance rewriting (IUR) aims to restore the incomplete utterance with sufficient context information for comprehension.This paper introduces a simple yet efficient IUR method.Different from prior studies, we first employ only one-layer MLP architecture to mine latent semantic information between joint utterances for IUR task (MIUR).After that, we conduct a joint feature matrix to predict the token type and thus restore the incomplete utterance.The well-designed network and simple architecture make our method significantly superior to existing methods in terms of quality and inference speed 1 .