Tchebycheff Procedure for Multi-task Text Classification
Yuren Mao, Shuang Yun, Weiwei Liu, Bo Du · 2020
Multi-task Learning methods have achieved significant progress in text classification.However, existing methods assume that multi-task text classification problems are convex multiobjective optimization problems, which is unrealistic in real-world applications.To address this issue, this paper presents a novel Tchebycheff procedure to optimize the multitask classification problems without any convex assumption.The extensive experiments back up our theoretical analysis and validate the superiority of our proposals.