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Current researches on frame semantic parsing include three subtasks, namely frame identification, argument identification and role classification. Most of previous systems process these subtasks independently and ignore their interactions. We introduce a novel architecture based on multi-decoder strategy to handle these subtasks together. The multi-decoder strategy strengthens the interactions. Moreover, we design a hierarchical pointer network for argument identification which reduces the computational complexity. To our best knowledge, it's the first practice to introduce the pointer network into frame semantic parsing. The experiments show improvement over state of the art models on FrameNet dataset.
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Chen et al. (2021) studied this question.