DocumentCode
2983954
Title
Improving Query-Based Summarization Using Document Graphs
Author
Mohamed, Ahmed A. ; Rajasekaran, Sanguthevar
Author_Institution
Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT
fYear
2006
fDate
Aug. 2006
Firstpage
408
Lastpage
410
Abstract
Text summarization is an important problem, which has numerous applications. This problem has been extensively studied and many approaches have been proposed in the literature for its solution. One of the most challenging problems in the field of text summarization is generating a user-focused summary based on a query. In this paper, we investigate a new approach that tackles this problem and proposes a new solution using document graphs. We have employed data from Document Understanding Conference 2006 (DUC-2006)
Keywords
query processing; text analysis; document graphs; query-based summarization; text summarization; user-focused summary; Application software; Computer science; Information technology; Length measurement; Performance evaluation; Signal processing; document graph; query-based summarization; text summarization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9753-3
Electronic_ISBN
0-7803-9754-1
Type
conf
DOI
10.1109/ISSPIT.2006.270835
Filename
4042277
Link To Document