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Examination of the effect of features shows that predicting top-level and predicting subtopic boundaries are two distinct tasks : -LRB- 1 -RRB- for predicting subtopic boundaries , the lexical cohesion-based approach alone can achieve competitive results , -LRB- 2 -RRB- for predicting top-level boundaries , the machine learning approach that combines lexical-cohesion and conversational features performs best , and -LRB- 3 -RRB- conversational cues , such as cue phrases and overlapping speech , are better indicators for the top-level prediction task .
 part of: predicting subtopic boundaries, predicting top-level and predicting subtopic boundaries; used for: lexical cohesion-based approach, predicting subtopic boundaries; part of: predicting top-level boundaries, predicting top-level and predicting subtopic boundaries; used for: machine learning approach, predicting top-level boundaries; conjunction: lexical-cohesion and conversational features, machine learning approach; hyponym of: cue phrases, conversational cues; hyponym of: overlapping speech, conversational cues; conjunction: overlapping speech, cue phrases; used for: indicators, top-level prediction task
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:
 part of: predicting subtopic boundaries, predicting top-level and predicting subtopic boundaries; used for: lexical cohesion-based approach, predicting subtopic boundaries; part of: predicting top-level boundaries, predicting top-level and predicting subtopic boundaries; used for: machine learning approach, predicting top-level boundaries; conjunction: lexical-cohesion and conversational features, machine learning approach; hyponym of: cue phrases, conversational cues; hyponym of: overlapping speech, conversational cues; conjunction: overlapping speech, cue phrases; used for: indicators, top-level prediction task