ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees

SEMEVAL 2019 Xuefeng LuoAlina BaranovaJonas Biegert

This paper describes our participation in SemEval-2019 shared task {``}Math Question Answering{''}, where the aim is to create a program that could solve the Math SAT questions automatically as accurately as possible. We went with a dual-pronged approach, building a Sequence-to-Sequence Neural Network pre-trained with augmented data that could answer all categories of questions and a Tree system, which can only answer a certain type of questions... (read more)

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