HAL: hal-00189905, version 1

arXiv: 0710.3502

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

Stergos D. Afantenos 1, V. Karkaletsis, P. Stamatopoulos, C. Halatsis

(2007-10-18)

In this paper we present a fresh look at the problem of summarizing evolving events from multiple sources. After a discussion concerning the nature of evolving events we introduce a distinction between linearly and non-linearly evolving events. We present then a general methodology for the automatic creation of summaries from evolving events. At its heart lie the notions of Synchronic and Diachronic cross-document Relations (SDRs), whose aim is the identification of similarities and differences between sources, from a synchronical and diachronical perspective. SDRs do not connect documents or textual 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 a grid can be considered as the starting point of a Natural Language Generation System. The methodology is evaluated in two case-studies, one for linearly evolving events (descriptions of football matches) and another one for non-linearly evolving events (terrorist incidents involving hostages). In both cases we evaluate the results produced by our computational systems.

1:	Laboratoire d'informatique Fondamentale de Marseille (LIF)
	CNRS : UMR6166 – Université de la Méditerranée - Aix-Marseille II – Université de Provence - Aix-Marseille I

Subject

:

Computer Science/Computation and Language Computer Science/Information Retrieval

Keyword(s): multi-document summarization – summarization of evolving events – natural language generation – rhetorical structure theory

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From: Stergos Afantenos <>

Submitted on: Thursday, 22 November 2007 16:19:04

Updated on: Monday, 3 December 2007 18:13:46