Open bhshri opened 4 years ago
In this paper, the second step is to filter the no causal emotion-cause pairs using a logistic regression model. And the inputs of this model is an emotion clause and cause clause and the distance embedding. Here, the distance between them is emotion clause index i
minus cause clause j
. Then get the distance embedding through a position lookup table.
Hoping it solves your problem!
The paper mentions distance to be used in filtering the candidate emotion cause pairs. What is this distance that has been used ?