3378
To validate our method , we compare it with the Maximum Likelihood -LRB- ML -RRB- estimation method under sparse data and with the Expectation Maximization -LRB- EM -RRB- algorithm under incomplete data respectively .
 compare: it, Maximum Likelihood -LRB- ML -RRB- estimation method; compare: it, Expectation Maximization -LRB- EM -RRB- algorithm; used for: sparse data, it; used for: sparse data, Maximum Likelihood -LRB- ML -RRB- estimation method; used for: incomplete data, it; used for: incomplete data, Expectation Maximization -LRB- EM -RRB- algorithm
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  it, Maximum Likelihood -LRB- ML -RRB- estimation method; it, Expectation Maximization -LRB- EM -RRB- algorithm; sparse data, it; sparse data, Maximum Likelihood -LRB- ML -RRB- estimation method; incomplete data, it; incomplete data, Expectation Maximization -LRB- EM -RRB- algorithm 
Answer:
 compare: it, Maximum Likelihood -LRB- ML -RRB- estimation method; compare: it, Expectation Maximization -LRB- EM -RRB- algorithm; used for: sparse data, it; used for: sparse data, Maximum Likelihood -LRB- ML -RRB- estimation method; used for: incomplete data, it; used for: incomplete data, Expectation Maximization -LRB- EM -RRB- algorithm