Given the set of documents C relevant to topic k, we proposed to generate a label of a desired length x from the summarisation of C. We compare different summarisation algorithms based on their ability to provide a good label to a given topic.
we investigate the use of lexical features by comparing three different wellknown multi-document summarisation algorithms against the top-n topic terms baseline.