96
In this paper , we improve an unsupervised learning method using the Expectation-Maximization -LRB- EM -RRB- algorithm proposed by Nigam et al. for text classification problems in order to apply it to word sense disambiguation -LRB- WSD -RRB- problems .
 used for: Expectation-Maximization -LRB- EM -RRB- algorithm, unsupervised learning method; used for: Expectation-Maximization -LRB- EM -RRB- algorithm, text classification problems; used for: it, word sense disambiguation -LRB- WSD -RRB- problems
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: Expectation-Maximization -LRB- EM -RRB- algorithm, unsupervised learning method; used for: Expectation-Maximization -LRB- EM -RRB- algorithm, text classification problems; used for: it, word sense disambiguation -LRB- WSD -RRB- problems