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
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;
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
DOI :
10.1109/ISSPIT.2006.270835
