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In this paper we present a fresh look at the problem of summarizing evolvingevents from multiple sources. After a discussion concerning the nature ofevolving events we introduce a distinction between linearly and non-linearlyevolving events. We present then a general methodology for the automaticcreation of summaries from evolving events. At its heart lie the notions ofSynchronic and Diachronic cross-document Relations (SDRs), whose aim is theidentification of similarities and differences between sources, from asynchronical and diachronical perspective. SDRs do not connect documents ortextual elements found therein, but structures one might call messages.Applying this methodology will yield a set of messages and relations, SDRs,connecting them, that is a graph which we call grid. We will show how such agrid can be considered as the starting point of a Natural Language GenerationSystem. The methodology is evaluated in two case-studies, one for linearlyevolving events (descriptions of football matches) and another one fornon-linearly evolving events (terrorist incidents involving hostages). In bothcases we evaluate the results produced by our computational systems.

Using Synchronic and Diachronic Relations for Summarizing Multiple Documents Describing Evolving Events