Assume that we are given a database of 5 sentences d_i and a query q, and we calculated, given a symmetrical similarity measure, the similarity values as below. Further assume that is given by the user to be 0.5. d ddz ded di 1 0.11 0.23 0.76 0.25 0.91 d2 1 0.29 0.57 0.51 0.90 d 1 0.02 0.20 0.50 de 1 0.33 0.06 ds 10.63 9 1 S = Generate a two-sentence summary from the sentence collection using the Maximal Marginal Relevance (MMR) algorithm. Assume that we are given a database of 5 sentences d_i and a query q, and we calculated, given a symmetrical similarity measure, the similarity values as below. Further assume that is given by the user to be 0.5. d ddz ded di 1 0.11 0.23 0.76 0.25 0.91 d2 1 0.29 0.57 0.51 0.90 d 1 0.02 0.20 0.50 de 1 0.33 0.06 ds 10.63 9 1 S = Generate a two-sentence summary from the sentence collection using the Maximal Marginal Relevance (MMR) algorithm