How can you use an RNN to predict grammatical errors in a sentence?

1.       Suppose you are given an embedding found by word2vec of each of the d terms in the lexicon. You are also given an n × d document-term matrix D containing the term frequencies of each document in its rows with the same lexicon of size d. Propose a heuristic to find the coordinates of the documents in terms of this word embedding.

2.       Suppose you have additional syntactic features of words such as the part-of-speech, orthography, and so on. Show how you would incorporate such features in word2vec.

3.       How can you use an RNN to predict grammatical errors in a sentence?

4.       Consider a d × d word-word context matrix C = [cij ] in which cij is the frequency of word j in the context of word i. The goal is to learn d × p and p × d matrices U and V , respectively, so that applying softmax to each row of UV matches the relative frequencies in the corresponding row of C. Create a loss function for this probabilistic factorization of C into U and V . Discuss the relationship with the skip-gram model.

find the cost of your paper

Suggest a modification of the binary search algorithm that emulates this strategy for a list of names.

1. Suppose that a list contains the values 20 44 48 55 62 66 74 88 93 99 at index positions 0 through 9. Trace the values of the variables….

Explain why insertion sort works well on partially sorted lists.

1. Which configuration of data in a list causes the smallest number of exchanges in a selection sort? Which configuration of data causes the largest number of exchanges? 2. Explain….

Draw a class diagram that shows the relationships among the classes in this new version of the system

Jack decides to rework the banking system, which already includes the classes BankView, Bank, SavingsAccount, and RestrictedSavingsAccount. He wants to add another class for checking accounts. He sees that savings….