The essence of the standard approach to topic detection is to assess the semantic distance D sem between the test response w and the aggregate example response w q by approximating it using a vector distance metric D vec between vector representations of the response f w and the topic f q .
the candidate randomly selects with uniform probability P(w|q) a response w from the pool W q .