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We propose a solution to the challenge of the CoNLL 2008 shared task that uses a generative history-based latent variable model to predict the most likely derivation of a synchronous dependency parser for both syntactic and semantic dependencies .
 used for: generative history-based latent variable model, CoNLL 2008 shared task; used for: generative history-based latent variable model, synchronous dependency parser; used for: synchronous dependency parser, syntactic and semantic dependencies
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:  generative history-based latent variable model, CoNLL 2008 shared task; generative history-based latent variable model, synchronous dependency parser; synchronous dependency parser, syntactic and semantic dependencies 
Answer:
 used for: generative history-based latent variable model, CoNLL 2008 shared task; used for: generative history-based latent variable model, synchronous dependency parser; used for: synchronous dependency parser, syntactic and semantic dependencies