Paper: Extractive Summarization Using Inter- And Intra- Event Relevance

ACL ID P06-1047
Title Extractive Summarization Using Inter- And Intra- Event Relevance
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Event-based summarization attempts to select and organize the sentences in a summary with respect to the events or the sub-events that the sentences de- scribe. Each event has its own internal structure, and meanwhile often relates to other events semantically, temporally, spatially, causally or conditionally. In this paper, we define an event as one or more event terms along with the named entities associated, and present a novel approach to derive intra- and inter- event relevance using the information of inter- nal association, semantic relatedness, distributional similarity and named en- tity clustering. We then apply PageRank ranking algorithm to estimate the sig- nificance of an event for inclusion in a summary from the event relevance de- rived. Experiments on the DUC 2001 test data...