For the generic text summarization, given below 5 documents in the collection, answer the following questions...

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For the generic text summarization, given below 5 documents in the collection, answer the following questions sequentially. Document 1 (dl) Document 2 (d2) Document 3 (d3) Document 4 (d4) Jack bought jacket Jacket had hood Jill wore jacket Jill hated hood a) Compute the saliency score of every sentence using the average weights of all the words in the sentences. Use only the new simplified formula to compute word's weightage. Note: Ignore punctuations & treat small case vs capital case as same but retain all the words, including stop words if any. Weight (word W.) = N/n; Where, N = Number of document given in the collection n; = Number of documents in the collection that has the word W b) Extract summary with 2 most informative documents from part a)'s result. c) Use ROUGE-2 to evaluate the results of the above system summary obtained in part b) w.r.t the below reference summary. "Jill hated Jacket jack bought" For the generic text summarization, given below 5 documents in the collection, answer the following questions sequentially. Document 1 (dl) Document 2 (d2) Document 3 (d3) Document 4 (d4) Jack bought jacket Jacket had hood Jill wore jacket Jill hated hood a) Compute the saliency score of every sentence using the average weights of all the words in the sentences. Use only the new simplified formula to compute word's weightage. Note: Ignore punctuations & treat small case vs capital case as same but retain all the words, including stop words if any. Weight (word W.) = N/n; Where, N = Number of document given in the collection n; = Number of documents in the collection that has the word W b) Extract summary with 2 most informative documents from part a)'s result. c) Use ROUGE-2 to evaluate the results of the above system summary obtained in part b) w.r.t the below reference summary. "Jill hated Jacket jack bought"