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We present a new part-of-speech tagger that demonstrates the following ideas : -LRB- i -RRB- explicit use of both preceding and following tag contexts via a dependency network representation , -LRB- ii -RRB- broad use of lexical features , including jointly conditioning on multiple consecutive words , -LRB- iii -RRB- effective use of priors in conditional loglinear models , and -LRB- iv -RRB- fine-grained modeling of unknown word features .
 used for: tag contexts, part-of-speech tagger; used for: dependency network representation, tag contexts; used for: lexical features, part-of-speech tagger; used for: priors in conditional loglinear models, part-of-speech tagger; used for: fine-grained modeling of unknown word features, part-of-speech tagger
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: tag contexts, part-of-speech tagger; used for: dependency network representation, tag contexts; used for: lexical features, part-of-speech tagger; used for: priors in conditional loglinear models, part-of-speech tagger; used for: fine-grained modeling of unknown word features, part-of-speech tagger