Using Synchronic and Diachronic Relations for Summarizing Multiple Documents Describing Evolving Events
| dc.creator | Afantenos, Stergos D. | |
| dc.creator | Karkaletsis, V. | |
| dc.creator | Stamatopoulos, P. | |
| dc.creator | Halatsis, C. | |
| dc.date | 2007-10-18 | |
| dc.date.accessioned | 2026-07-07T08:37:03Z | |
| dc.date.available | 2026-07-07T08:37:03Z | |
| dc.description | 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. | |
| dc.description | 45 pages, 6 figures. To appear in the Journal of Intelligent Information Systems | |
| dc.identifier | https://arxiv.org/abs/0710.3502 | |
| dc.identifier | http://arxiv.org/abs/0710.3502 | |
| dc.identifier | doi:10.1007/s10844-006-0025-9 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/140275 | |
| dc.subject | Computation and Language | |
| dc.subject | Information Retrieval | |
| dc.title | Using Synchronic and Diachronic Relations for Summarizing Multiple Documents Describing Evolving Events | |
| dc.type | text |