8720
We take a selection of both bag-of-words and segment order-sensitive string comparison methods , and run each over both character - and word-segmented data , in combination with a range of local segment contiguity models -LRB- in the form of N-grams -RRB- .
 used for: character - and word-segmented data, bag-of-words and segment order-sensitive string comparison methods; conjunction: local segment contiguity models, bag-of-words and segment order-sensitive string comparison methods; feature of: N-grams, local segment contiguity models
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:  character - and word-segmented data, bag-of-words and segment order-sensitive string comparison methods; local segment contiguity models, bag-of-words and segment order-sensitive string comparison methods; N-grams, local segment contiguity models 
Answer:
 used for: character - and word-segmented data, bag-of-words and segment order-sensitive string comparison methods; conjunction: local segment contiguity models, bag-of-words and segment order-sensitive string comparison methods; feature of: N-grams, local segment contiguity models