Papers with multi-task text classification problems

1 papers
Tchebycheff Procedure for Multi-task Text Classification (2020.acl-main)

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Challenge: Existing methods for text classification assume that multitask text classification problems are convex multiobjective optimization problems.
Approach: They propose a Tchebycheff procedure to optimize multi-task classification problems without convex assumption.
Outcome: The proposed method is able to find an arbitrary Pareto optimal solution in the PareTO set if the problem is convex, but excludes many Paret optimal solutions from its search scope.

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