2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/30691The task of creating indicative summaries that help a searcher decide whether to read a particular document is a difficult task. This paper examines the indicative summarization task from a generation perspective, by first analyzing its required content via published guidelines and corpus analysis. We show how these summaries can be factored into a set of document features, and how an implemented content planner uses the topicality document feature to create indicative multidocument query-based summaries.8 pages, published in Proc. of 8th European Workshop on NLGComputation and LanguageI.2.7Applying Natural Language Generation to Indicative Summarizationtext