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In this paper , we present a corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system for Dutch which combines statistical classification -LRB- maximum entropy -RRB- with linguistic information .
 used for: corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system, Dutch; part of: statistical classification, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; part of: maximum entropy, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; part of: linguistic information, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; conjunction: linguistic information, maximum entropy
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:  corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system, Dutch; statistical classification, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; maximum entropy, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; linguistic information, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; linguistic information, maximum entropy 
Answer:
 used for: corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system, Dutch; part of: statistical classification, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; part of: maximum entropy, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; part of: linguistic information, corpus-based supervised word sense disambiguation -LRB- WSD -RRB- system; conjunction: linguistic information, maximum entropy