det(L Y ) also has a particular geometric interpretation as the squared volume of the space spanned by sentence vectors i and j, where the quality measure indicates the length of the vector and the similarity indicates the angle between two vectors ( Figure 1).
we adopt a feature-based approach to compute sentence quality: x i is a feature vector for sentence i and θ are the feature weights to be learned during training.