We have two goals in the evaluation: comparison of different summarization methods for topic labeling, and comparison of different kinds of labels (summaries, words, and phrases).
we compare our proposed summarization method (denoted as Our Method) with the following typical summarization methods and all of them extract summaries from the same candidate sentence set for each topic: MEAD: It uses a heuristic way to obtain each sentence's score by summing the scores based on different features : centroidbased weight, position and similarity with first sentence.