Paper Info
Title
Using coreference links and sentence compression in graph-based summarization
Abstract
Recent years have shown that graphs are an adequate text representation model for summarization. For this years' TAC up- date summarization challenge, we ex- tended our graph-based summarization system with coreference relations and sen- tence compression. Our results show that using coreference relations did not result in a significant performance gain; sen- tence compression had a negative effect on performance. We participated in the opinion summarization task with our base graph-based system. The measured per- formance of our opinion summarization system was competitive with respect to re- sponsiveness, and poor with respect to lin- guistic quality.
Year
Venue
Field
2008
TAC
Text graph,Automatic summarization,Graph,Coreference,Information retrieval,Computer science,Sentence compression,Natural language processing,Artificial intelligence
DocType
Citations 
PageRank 
Conference
4
0.39
References 
Authors
11
2
Name
Order
Citations
PageRank
Iris Hendrickx128530.91
Wauter Bosma29710.83