Sciweavers

Share
ACL
2006

Extractive Summarization using Inter- and Intra- Event Relevance

11 years 7 months ago
Extractive Summarization using Inter- and Intra- Event Relevance
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 describe. 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 internal association, semantic relatedness, distributional similarity and named entity clustering. We then apply PageRank ranking algorithm to estimate the significance of an event for inclusion in a summary from the event relevance derived. Experiments on the DUC 2001 test data shows that the relevance of the named entities involved in events achieves better result when their relevance is derived from the event terms they associate. It also reveals that the topic-specific relevance ...
Wenjie Li, Mingli Wu, Qin Lu, Wei Xu, Chunfa Yuan
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where ACL
Authors Wenjie Li, Mingli Wu, Qin Lu, Wei Xu, Chunfa Yuan
Comments (0)
books