Paper Info
Title
Creating a gold standard for sentence clustering in multi-document summarization
Abstract
Sentence Clustering is often used as a first step in Multi-Document Summarization (MDS) to find redundant information. All the same there is no gold standard available. This paper describes the creation of a gold standard for sentence clustering from DUC document sets. The procedure of building the gold standard and the guidelines which were given to six human judges are described. The most widely used and promising evaluation measures are presented and discussed.
Year
Venue
Keywords
2009
ACL/IJCNLP (Student Research Workshop)
promising evaluation measure,sentence clustering,redundant information,gold standard,multi-document summarization,human judge,duc document set,multi document summarization
Field
DocType
Volume
Automatic summarization,Multi-document summarization,Information retrieval,Computer science,Sentence clustering,Artificial intelligence,Natural language processing,Gold standard
Conference
P09-3
Citations 
PageRank 
References 
2
0.37
8
Authors
1
Name
Order
Citations
PageRank
Johanna Geiss1213.51