150
The information extraction system we evaluate is based on a linear-chain conditional random field -LRB- CRF -RRB- , a probabilistic model which has performed well on information extraction tasks because of its ability to capture arbitrary , overlapping features of the input in a Markov model .
 linear-chain conditional random field -LRB- CRF -RRB-, information extraction system; linear-chain conditional random field -LRB- CRF -RRB-, probabilistic model; probabilistic model, information extraction tasks; probabilistic model, arbitrary , overlapping features; arbitrary , overlapping features, input; arbitrary , overlapping features, Markov model
Please list all entity pairs containing a certain relationship in the given options.Output format is "word1, word2; word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 linear-chain conditional random field -LRB- CRF -RRB-, information extraction system; linear-chain conditional random field -LRB- CRF -RRB-, probabilistic model; probabilistic model, information extraction tasks; probabilistic model, arbitrary , overlapping features; arbitrary , overlapping features, input; arbitrary , overlapping features, Markov model