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Hi there! Your work is very impressive, and I have a question here:
In my experiments, I find that there exist a few multi-edge situations (whereas there is more than one edge between a pair of nodes) in the CAMR dataset. Also, this tends to happen when, for example, there is a self-pointing action in the sentence.
According to your paper, you use the bi-affine classifier to classify relations between nodes, which only provides one prediction between one pair of nodes. So, how do you manage multi-edges?
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Hi there! Your work is very impressive, and I have a question here:
In my experiments, I find that there exist a few multi-edge situations (whereas there is more than one edge between a pair of nodes) in the CAMR dataset. Also, this tends to happen when, for example, there is a self-pointing action in the sentence.
According to your paper, you use the bi-affine classifier to classify relations between nodes, which only provides one prediction between one pair of nodes. So, how do you manage multi-edges?
Looking forward to your reply, thank you!
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