Our inference model converts the output hidden vectors of BiLSTMs to the fixed-length vector with pooling operations and puts it into the final classifier to determine the overall inference class.
in addition to using mean pooling and max pooling similarly to ESIM , we propose to use weighted pooling based on external knowledge to obtain a fixed-length vector as in Equation (11)(12).