Since a question needs to be matched with different relations and each relation is only described by part of the question, instead of matching the relations with a single question vector, we calculate the matching score in a more finegrained way.
we first use r to attend each question token and then model the matching s r by a dot product as follows: In addition to the question-relation similarities, we find another binary indicator feature derived from the topic entity is very useful.